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In today's fiercely competitive market, household Consumer Packaged Goods (CPG) brands face numerous challenges in maintaining visibility, meeting sustainability demands, and optimising retail execution strategies. With rising consumer expectations and evolving market dynamics, traditional approaches to retail execution are no longer sufficient. However, emerging technologies offer a beacon of hope, promising to change how CPG brands operate in the household category. Neurolabs’ ZIA (Zero Image Annotations) is a game-changing image recognition technology powered by synthetic data and computer vision. ZIA represents a paradigm shift in how CPG brands approach retail execution and consumer engagement strategies. With its unparalleled capabilities and transformative potential, ZIA stands poised to redefine the landscape of the household CPG industry, empowering brands to overcome challenges, seize opportunities, and establish themselves as leaders in an increasingly dynamic market. How Technology Helps You Take on the Competition The household category is a battleground where CPG brands engage in relentless competition for coveted shelf space and consumer attention. In this fiercely contested arena, effective advertising strategies that reach the right consumers and effectively convey the superiority of a brand's products are paramount. Eye-catching packaging and engaging Point-of-Purchase (POP) displays are crucial tools in attracting consumers to the brand and fuelling brand and category growth. Moreover, the escalating demand for eco-friendly and sustainable products adds an additional layer of complexity to the landscape. CPG brands must adapt their portfolios and manufacturing processes to meet these evolving consumer preferences, further intensifying the competition within the household category. Amidst these challenges, retail execution is a pivotal issue plaguing household CPG brands. Inconsistent product availability and in-store presence pose significant obstacles, hindering brands from establishing a cohesive and impactful retail strategy. In response to these challenges, household CPG brands are increasingly turning to technology-driven solutions to gain a competitive edge. Image recognition, predictive analytics and AI are among the innovative tools being leveraged to streamline retail execution, optimise product assortment and packaging, and forge stronger partnerships with retailers. By harnessing the power of data and technology, brands can unlock valuable insights, enhance visibility across retail channels, and ultimately drive sustainable sales growth. Image Recognition & Workforce Optimisation The shift towards a more flexible and technology-enabled field force is evident, with brands investing in data-driven decision-making and real-time insights. While outsourcing retail execution was once prevalent, there's now a trend towards establishing smaller, agile field teams that leverage technology to enhance efficiency and effectiveness. This transition reflects a broader shift towards collaborative approaches to retail execution and category management. Image recognition technologies, such as our ZIA (Zero Image Annotations), are poised to revolutionise retail execution in the household category. By automating data collection and providing real-time insights, ZIA enables brands to optimise product assortment, monitor shelf placement, inventory and enhance in-store visibility. With its ability to generate synthetic data and leverage advanced computer vision, ZIA offers unparalleled accuracy, efficiency, cost efficiency and ease of use. The Benefits of ZIA Technology Neurolabs’ ZIA (Zero Image Annotations) is not just a technology; it's a strategic ally for household CPG brands seeking to gain a competitive edge in the market. ZIA leverages the power of synthetic data and advanced computer vision to provide comprehensive insights and streamline retail execution processes. There are many reasons that leveraging proactive synthetic data gives you a substantial advantage over reactive traditional data. Some of the key benefits of using ZIA include: Rapid Product Onboarding: A key feature of ZIA is its 'Universal Artwork Approach,' which allows users to effortlessly create digital twins (3D Models) of products from existing PDF and PNG files. Simply upload the artwork of the product or promotional material, and ZIA will create a digital twin for more accurate product onboarding. If you don’t have artwork, with our ZIA Capture app, you can onboard new products in less than 30 seconds per SKU, enabling swift catalogue updates and achieving over 96% accuracy from day one. Advanced Training Models: ZIA continuously enhances accuracy over time, leveraging an extensive dataset of over 2 billion product images and 72 million shelf images. This robust capability ensures consistent catalogue updates and offers deeper insights, saving valuable time and resources. Seamless Integration: ZIA effortlessly integrates with existing Sales Force Automation (SFA) solutions, ensuring compatibility across diverse regions and adaptability to industry demands. ZIA is not just a technology; it's a catalyst for innovation and success in the household CPG industry. By leveraging the power of synthetic data and advanced computer vision, ZIA empowers brands to create a robust catalogue and overcome retail execution challenges, enhance visibility, and drive sales growth. With ZIA, household CPG brands can unlock new levels of success and establish themselves as leaders in the industry. Stay Competitive: Enhanced Visibility With Scene Understanding Recent reports show that 70% of shopping decisions are made on-site. This means that captivating displays and competitive price points easily sway consumers, emphasising the critical importance of maintaining visibility and strategic positioning within the retail space. ZIA's In-Store Scene Understanding (ISSU) is a groundbreaking feature that transcends traditional shelf-level insights, offering a panoramic view of the entire in-store environment. This holistic approach provides household CPG brands with a comprehensive understanding of their product placement and presentation, competitor strategies, and consumer interactions. Household CPG brands can unlock unparalleled insights and maximise sales potential by embracing ZIA for enhanced shelf data collection. Leveraging ISSU, ZIA not only provides detailed insights into a brand's own product catalogue but also offers a comprehensive analysis of competitor activities. This includes evaluating promotional materials, display strategies, sustainability efforts and competitor consumer engagement tactics. With a deeper understanding of competitors' product strategies and execution, brands can craft informed strategies to stay ahead of the curve and resonate with consumers effectively. By harnessing the power of ZIA's ISSU, household CPG brands can elevate their in-store visibility, optimise promotional efforts, and make data-driven decisions that drive sustainable growth in a fiercely competitive market landscape. Become A Household Name With ZIA In conclusion, the household category presents both challenges and opportunities for CPG brands. By embracing technology-driven solutions like image recognition, brands can overcome retail execution challenges, enhance visibility, and drive sales growth. Our technology empowers brands to stay ahead of the competition, adapt to changing consumer demands, and thrive in the dynamic household category landscape. Through ZIA, we offer a transformative solution that revolutionises retail execution, providing unparalleled accuracy, efficiency, and ease of use. With ZIA, household CPG brands can unlock new levels of success and establish themselves as industry leaders. Book a demo today to learn how Neurolabs can help your brand thrive. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

Just a few years ago, Amazon's 'Just Walk Out' technology was hailed as a game-changer for retail, promising to revolutionise the shopping experience with AI, computer vision, deep learning and sensors. Customers could effortlessly shop without relying on conventional checkouts. By picking up products or adding to their carts, the innovative technology, powered by computer vision and sensors, seemingly registered and billed items directly to their Amazon accounts. However, recent revelations show that Amazon's technology wasn't entirely automated. Despite being deployed in half of Amazon Fresh stores, the system relied heavily on a team of over 1,000 remote cashiers in India. “There’s a grey area in artificial intelligence filled with millions of humans who work in secret — they’re often hired to train algorithms but end up operating much of their work instead.” – Parmy Olson for Bloomberg. Reports from Business Insider & The Information indicate that the technology faced significant challenges, proving slow and costly to implement. 700 of every 1,000 walkouts had to be reviewed, meaning the remote cashiers took hours to process data, delaying customer receipt generation. Critics have also raised ethical concerns about Amazon's practices. Not only did Amazon underpay their third-party workers instead of hiring locally, but the company's accumulation of sensitive customer data, including in-store behaviour, has sparked privacy debates, turning routine shopping trips into potential breaches. As Computer Vision technology has become a formidable force in the CPG industry, this breaking story has forced CPG brands to consider what real computer vision technology looks like and if it is viable for their business needs. How Neurolabs Does CV Differently In light of recent revelations about Amazon's 'Just Walk Out' technology, it's evident that the promises of seamless retail experiences through AI and computer vision are not always fulfilled. As the retail landscape evolves, Neurolabs remains committed to providing technical solutions that empower businesses while upholding the highest standards of integrity and performance. Our technology leverages synthetic data, generating 3D models for training and surpassing the limitations of real data. This approach ensures enhanced reliability, accuracy, speed, and cost efficiency in data processing and analysis. “In the past, we relied on a 60-person team of annotators and couldn’t achieve the desired accuracy results. Now, we use Neurolabs for Image Recognition.” — Tier 1 Soft Drinks Manufacturer. Our state-of-the-art Image Recognition technology ‘ZIA’ (Zero Image Annotations) is designed by experts to offer features such as: Zero Human Annotations: Synthetic Computer Vision offers multi-modal metadata at minimal expense. Unlike traditional Computer Vision, SCV generates training data programmatically. Its robustness stems from eliminating human annotation errors inherent in conventional CV methods. Rapid Product Onboarding: With our ZIA Capture app, onboarding new products takes less than 30 seconds per SKU, enabling swift catalogue updates and achieving over 96% accuracy right from the start. Advanced Training Models: Our training models continuously enhance accuracy over time, leveraging an extensive dataset of over 2 billion product images and 72 million shelf images. This robust capability ensures your catalogue remains consistently updated and offers deeper insights, saving valuable time and resources. Seamless Integrations: ZIA effortlessly integrates with your current infrastructure, including Sales Force Automation solutions, ensuring seamless compatibility across various regions and remaining flexible to industry demands. Enhanced Visibility through ISSU: ZIA's In-Store Scene Understanding extends beyond shelf-level insights, delivering a comprehensive view of the entire in-store environment, including competitor strategies and consumer interactions. Thus, it enhances overall visibility and strategic decision-making. While Amazon's approach faced challenges and ethical concerns, Neurolabs stands apart with our innovative ZIA technology. Unlike Amazon's reliance on third-party workers and questionable data practices, ZIA offers a superior solution that is efficient, reliable, and ethical. With seamless integrations, rapid product onboarding, advanced training models, and enhanced visibility through In-Store Scene Understanding (ISSU), Neurolabs ensures that businesses have access to cutting-edge computer vision technology that is both effective and efficient. Book A Demo Today In the rapidly evolving retail technology landscape, the recent news about Amazon's technology underscores the importance of integrity and efficiency in adopting new solutions. Using synthetic computer vision, we have created a solution that eliminates human error and offers users superior accuracy, speed, scalability, and reliability. Experience the transformative power of ZIA firsthand by booking a demo today and revolutionising your business's approach to retail execution. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

In the fast-paced retail landscape, staying ahead requires more than just monitoring critical metrics at the shelf level. It demands a comprehensive understanding of the entire store environment, including products, promotions, and competitors. This is where In-Store Scene Understanding (ISSU) emerges as a game-changer. ISSU offers a holistic view of retail execution (REX), unifying product and promotional insights into one platform. ISSU links shelf-level product placement with in-store promotions for both your products and competitors, offering a comprehensive understanding of the entire store environment. This blog will explore how ISSU can revolutionise your category management strategy and drive success in the dynamic retail industry. Understanding the ISSU Advantage ISSU stands out for its ability to provide a unified view of product and promotional execution. Unlike traditional methods that offer separate insights into SKUs and promotional materials including point-of-purchase (POP) displays, ISSU combines both elements into one comprehensive service offering. In contrast to traditional approaches reliant solely on real-world data, ISSU harnesses the power of synthetic data to gain deeper insights into visual elements. This innovative methodology transcends the limitations of outdated 'Planogram compliance,' freeing brands from narrow product-centric views. By offering a panoramic view of the retail landscape, ISSU captures the broader competitive landscape and provides visibility into ongoing promotional activities within the store. This holistic approach enables brands to understand their retail environment better, empowering them to make more informed decisions and achieve better results. By unravelling ISSU's key capabilities and distinctive features, businesses can unlock its transformative potential in enhancing category management strategies. Overcoming Category Management Challenges with ZIA Category management has its fair share of challenges, from ensuring shelf compliance to optimising promotional displays. Neurolab's technology, ‘ZIA’ (Zero Image Annotations), is a strategic solution that effectively addresses these pain points using ISSU and synthetic computer vision to your advantage. Transforming Consumer Packaged Goods image recognition, Neurolabs' ZIA revolutionises the process by eliminating manual annotations and dependence on real-world data. By leveraging ISSU, ZIA swiftly delivers precise product detection and in-store insights, surpassing traditional speed, accuracy (over 96% accuracy from the start), and cost-effectiveness methods. The above illustrates the process where ZIA Capture automatically generates a 3D digital replica of the product upon capture. You can then see its integration into the ZIA product catalogue, followed by detection of the products in-store. In today's dynamic retail landscape, staying ahead necessitates embracing innovative technologies like ZIA Capture. This transformative tool streamlines the onboarding process by reducing onboarding by 97% for SKUs and POP materials, providing invaluable insights into competitor catalogues and promotions. Embracing ZIA and ISSU in retail operations signifies a significant stride toward efficiency, cost-effectiveness, and market agility, enabling businesses to make informed decisions and sustain competitiveness in the retail landscape. Create Maximum Impact With ISSU By analysing various elements such as product placement, shelf positioning, and promotional materials, ISSU enables brands to fine-tune promotional displays for maximum impact and return on investment (ROI). With ISSU at work, brands can use ZIA to assess the effectiveness of their promotional campaigns in real-time, identifying opportunities to enhance visibility, engagement, and sales conversion rates. By understanding how consumers interact with promotional displays and marketing materials, brands can tailor their strategies to better resonate with their target audience, ultimately driving greater brand awareness and loyalty. Additionally, ISSU facilitates data-driven decision-making by providing actionable insights into the performance of promotional displays across different store locations and demographics. This allows brands to allocate resources more effectively, optimising promotional spend and maximising ROI. ISSU empowers brands to optimise their promotional displays and marketing strategies, ensuring they deliver maximum impact and drive tangible results in today's competitive retail landscape. Keeping Up With Future Trends As technology aiding REX evolves rapidly, ISSU remains at the forefront, adapting to emerging industry needs and integrating seamlessly with new advancements such as artificial intelligence (AI) and machine learning (ML). This adaptability ensures that ISSU remains a cutting-edge solution for enhancing category management strategies in an ever-changing retail landscape. With ISSU as a strategic ally, businesses can confidently navigate the complexities of the retail landscape and position themselves for long-term success in an increasingly competitive market. Transform Your Catagory Management Strategy Today, ISSU holds immense potential for transforming category management strategies in the retail industry. With many brands turning toward advanced IR solutions, ISSU puts you one step ahead of the curb. Its ability to provide a holistic view of retail execution, with real-time insights and practical solutions to everyday challenges, makes it an invaluable tool for brands seeking a competitive edge. As businesses navigate the complexities of the retail landscape, exploring ISSU offers a pathway to success and growth. Partner with Neurolabs today and stay ahead of the competition. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

In the fast-paced world of consumer packaged goods (CPG) brands, effective in-store execution is critical for success. With consumer demands evolving rapidly and competition intensifying, CPG brands face numerous challenges in ensuring their product strategy works effectively in stores. Recently, more and more brands have turned to Image Recognition to help them capture visibility around their store execution/product strategy, both for them and their competitors and at a category level. One key challenge with IR lies in catalogue onboarding, where CPG brands must efficiently onboard new products into their catalogues, ensure accurate data collection, and stay ahead of the competition. To address these challenges, Neurolabs introduces ZIA Capture, a groundbreaking solution designed to empower field agents and streamline the catalogue onboarding process for CPGs. In this blog post, we'll delve into the current state of in-store execution, the role of automation in improving processes, the potential of Synthetic Computer Vision (SCV), and how ZIA Capture is transforming catalogue onboarding for CPG brands. The Current State of In-Store Execution In traditional in-store execution processes, CPGs rely heavily on manual shelf monitoring and human-dependent execution. However, these manual processes are prone to human errors, are time-consuming, and often lack real-time insights, leading to a lack of visibility. With the increasing complexity of retail environments and the growing volume of products on shelves, manual processes become increasingly inefficient and unsustainable. Moreover, collaboration between CPG brands and retailers in gathering operational information is often limited. This results in data quality and decision-making challenges as both parties struggle to obtain accurate and timely information about product performance, shelf placements, and competitor activities. To address these challenges, there is a transition towards automation to streamline processes and improve efficiency. CPGs seek innovative solutions to capture product and promotional visibility in-store, collect rich insights, and enable more agile decision-making processes. With automation, CPG brands can make tangible enhancements to their operations and efficiency in time and costs while becoming more agile. They can be proactive, seize opportunities, take more market share, and make better-informed decisions faster. The Role of Automation in In-Store Execution Automation plays a pivotal role in revolutionising in-store execution processes. By leveraging technology such as Image Recognition (IR), CPG brands can streamline operations, improve data accuracy, and gain actionable insights into store performance. However, traditional approaches to IR have limitations, including extensive data requirements and difficulties in adapting to the dynamic retail environment. Synthetic Computer Vision (SCV) offers a transformative solution to the limitations of traditional image recognition methods. Unlike traditional approaches that rely on vast amounts of real-world data and manual processes, SCV uses synthetic data, creating digital twins of real-world products and promotions to train computer vision models. This allows for greater flexibility, scalability, and adaptability in detecting and recognising objects in images. Neurolabs is at the forefront of utilising SCV for SKU-level detection of CPG products. By leveraging synthetic data and advanced algorithms, Neurolabs' SCV technology enables CPG brands to accurately and efficiently onboard products into their catalogues, gain insights into competitor activities, and optimise in-store execution processes. ZIA Capture: Transforming Catalogue Onboarding At the core of Neurolabs' Synthetic Computer Vision (SCV) solution lies ZIA Capture —an innovative app that empowers field agents and facilitates seamless connectivity with the broader ZIA platform. ZIA Capture revolutionises the catalogue onboarding process for CPG brands, enhancing efficiency and accuracy at every step. ZIA Capture's two-way connectivity with the ZIA platform sets it apart, fostering collaboration and synergy between field agents and catalogue managers. Through ZIA Capture, those managing the catalogue in ZIA can effortlessly create tasks for field agents, specifying the onboarding of specific SKUs by their EAN code or visual appearance. This streamlined communication ensures that field agents focus on the most relevant tasks, optimising their efforts and maximising productivity. The above illustrates the process where ZIA Capture automatically generates a 3D digital replica of the product upon capture. You can then see its integration into the ZIA product catalogue, followed by detection of the products in-store. Moreover, ZIA Capture and ZIA integration ensures immediate and seamless data synchronisation. When a product is onboarded using ZIA Capture, critical information such as name, barcode, type, and category is automatically filled in within the ZIA platform. This real-time data synchronisation eliminates manual data entry errors and accelerates the overall onboarding process, enabling brands to maintain accurate and up-to-date catalogues with minimal effort. Some Key Benefits: Decreased Product Onboarding Time: ZIA Capture reduces product onboarding time by an impressive 97%, enabling CPG brands to onboard new products quickly and efficiently. Elimination of Human Errors: By automating the catalogue onboarding process, ZIA Capture eliminates human errors and the need for manual annotations, ensuring data accuracy and consistency. Enhanced Visibility: ZIA Capture allows brands to onboard competitor products, promotions, and strategies, enabling them to make informed decisions and stay ahead of the competition. Universality: ZIA Capture works for any shape or category of product, whether it’s a rigid product like a box or bottle, a soft product like a packet, or even one with deformities; our technology can detect it. Adaptability: CPG brands can quickly adapt to packaging changes and seasonal promotions, ensuring agility and flexibility in responding to market dynamics. ZIA and our dedicated onboarding app, ZIA Capture, represent the future of in-store execution for CPG brands. ZIA gives you control over your catalogue, reducing reliance on third-party IR vendors. Empowering field agents with advanced SCV technology enables brands to streamline catalogue onboarding processes, improve data accuracy, and gain valuable insights into store performance. The Future of In-Store Execution with ZIA Capture Now that we have explored the uses of ZIA for better catalogue onboarding and in-store execution let’s look at ways our technology is helping our clients digitise and keep their catalogues up to date with greater accuracy and scalability. Tier 1 Soft Drinks Manufacturer Challenge: A renowned beverage manufacturer with a vast product portfolio exceeding 1000 SKUs faced the challenge of maintaining an up-to-date catalogue. While leveraging their own master product catalogue artwork resolved a significant portion of their catalogue, approximately 60%, they encountered difficulties in proactively onboarding products from other brands lacking artwork. Solution: Neurolabs stepped in with its innovative ZIA Capture solution to address this manufacturer's catalogue management challenges. Equipping field representatives with ZIA Capture gave them a powerful tool for proactively onboarding products, even without artwork. Additionally, Neurolabs identified the warehouse as an optimal point in the supply chain to initiate the onboarding process, leveraging the fact that every product passes through the warehouse before reaching the stores. Global Field Marketing Agency Challenge: A prominent global field marketing agency with a vast team of field representatives faced the challenge of efficiently keeping its catalogue up to date. While their proximity to stores allowed them to digitise new products on demand, they needed a solution to streamline the process further and ensure rapid onboarding of new SKUs without downtime. Solution: Neurolabs collaborated with this global field marketing agency to implement an efficient catalogue management solution tailored to their needs. Leveraging Neurolabs' ZIA Capture technology, the agency gained the ability to onboard new products swiftly and seamlessly. With ZIA Capture, their field representatives could digitise new SKUs on demand, ensuring timely updates to the catalogue. Empower field agents today, In essence, ZIA Capture serves as the bridge between field agents and the broader ZIA platform, facilitating efficient collaboration and enhancing the effectiveness of catalogue management for CPG brands. With its intuitive interface and seamless connectivity, ZIA Capture empowers field agents to contribute effectively to catalogue onboarding while ensuring that the ZIA platform remains a hub of accurate and actionable insights for brands striving for excellence in the competitive CPG landscape. Our versatile technology reduces the need for third-party IR vendors and gives you control of your catalogue, allowing you to manage it at scale. With a future-forward technology like ZIA, CPG brands can stay ahead of the competition, drive growth, and succeed in the dynamic retail world. Discover how ZIA can transform your catalogue management. Book a demo today! At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

In the fast-paced Consumer Packaged Goods (CPG) industry, the beverages category is experiencing a digital revolution that goes beyond traditional image recognition methods. Synthetic Image Recognition, or SIR, is a next-generation IR technology from Neurolabs. SIR utilises proactive synthetically generated data instead of reactive real data, offering unique benefits for beverage brands. SIR's use of synthetic data and advanced computer vision significantly accelerates product onboarding and deployment, reducing the timeline from weeks to mere hours and offering higher accuracy levels than traditional methods. Moreover, SIR enhances visibility with features like In-Store Scene Understanding (ISSU), which allows for a comprehensive view of entire scenes and empowers businesses with insights into competitor strategies, including promotional materials and consumer interactions. As we delve into our groundbreaking SIR technology, ZIA (Zero Image Annotations), discover how Synthetic Computer Vision is reshaping field insights and driving a proactive approach to retail execution in the dynamic beverages market. Synthetic Computer Vision: A New Future for CPG Insights In the dynamic landscape of the beverages category, where product diversity, frequent packaging changes, and seasonal promotions abound, CPG companies face unique challenges in maintaining an accurate and timely understanding of their product and promotional material catalogues. Traditional image recognition methods often fail, struggling to keep pace with the industry's fast-moving nature. This leads to compromised insights and sluggish retail execution. Enter ZIA, a revolutionary force reshaping the narrative with its synthetic data and advanced computer vision capabilities. By bypassing the limitations of manual annotations and real-world data dependencies, ZIA introduces 3D digital twins of beverage products in virtual scenarios. This approach ensures precise and rapid product detection and delivers actionable and insightful data to achieve Perfect Store, including planogram compliance, product availability, price recognition, competitor analysis, promotional display compliance and more. Another game-changer is ZIA's utilisation of In-Store Scene Understanding (ISSU). This feature provides an all-encompassing view of in-store dynamics, offering vital insights into your brand's catalogue and those of your competitors, including new market entrants. The result is a transformative solution that empowers CPGs to make informed decisions in real time, harmonising decision-making processes and providing a competitive edge in the ever-evolving beverages marketplace. By swiftly adapting to changes, optimising product visibility, and understanding shelf-level insights and competitor strategies, ZIA becomes a catalyst for actionable insights, setting the stage for strategic and successful moves in the highly competitive industry. ZIA's Proactive Stance: A Game-Changer for Beverage Retail Execution ZIA is not just another image recognition solution; it's a proactive force in the beverages  category. Unlike reactive traditional methods, ZIA combines synthetic data and computer vision to gather key in-store, shelf level and competitor insights intelligently. Here's how ZIA changes the game for your retail execution: Easily Create Digital Twins: ZIA's Synthetic Image Recognition automatically creates digital twins based on artwork, extending beyond object recognition and offering versatile replicas for virtual environments and e-commerce platforms. Quick and Accurate Product Onboarding: Our ZIA Capture app for onboarding products reduces onboarding time to less than 30 seconds per SKU, allowing for swift updates to the catalogue, achieving +96% accuracy from day one. Enhancing Visibility with ISSU: ZIA's In-Store Scene Understanding goes beyond shelf-level insights, providing a holistic view of the entire scene in-store, including competitor strategies and consumer interactions. Simple Integrations, Big Impacts: ZIA seamlessly integrates with existing infrastructure, including Sales Force Automation solutions, ensuring compatibility across diverse regions and staying adaptable to industry needs. In summary, ZIA isn't just a solution; it's a catalyst for transformative impacts, equipping drink brands with the tools needed to stay ahead in a fiercely competitive market. Rapid Precision: Streamlining Product Onboarding with ZIA Capture Our dedicated app, ZIA Capture, redefines the conventional product onboarding and deployment timeline. This user-friendly app places control directly in your hands, empowering field representatives and partners alike to effortlessly update the catalogue, reducing reliance on third parties and elevating overall accuracy. ZIA's prowess shines in its ability to transform the onboarding process, cutting down the time required to less than 30 seconds per SKU. For a product catalogue spanning 50-100 SKUs, ZIA achieves the remarkable feat of onboarding the entire catalogue in less than two hours. The model is ready for deployment within a day, boasting an impressive +96% accuracy from the outset. The sustained accuracy improvement over time is fueled by an extensive dataset, encompassing over 2 billion product images and 72 million shelf images that train and refine our algorithm. This heightened capability keeps your catalogue consistently up-to-date and opens avenues for richer insights, saving valuable time and effort. ZIA's agility further facilitates seamless product deployment at scale across multiple markets, adding a new dimension to efficiency and precision in the beverages industry. Empowering Beverage Brands to Lead the Market with ZIA ZIA equips drink brands with the tools to maximise sales potential, optimise marketing campaigns, and understand competitors' strategies. It's not just a solution; it's a catalyst for innovation and success in the evolving world of Beverage Category Management. Incorporating ZIA into your beverage strategy goes beyond mere shelf data collection— it becomes the key to unlocking a competitive advantage and maximising sales potential. Through In-Store Scene Understanding (ISSU), ZIA provides an in-depth analysis of your catalogue, ensuring shelf compliance, product availability, and optimal promotional materials, and offers a unique vantage point into your competitors' tactics. This holistic approach empowers your brand to enhance its own strategy and gain valuable insights into the market dynamics. By understanding your competitors' product strategy and execution, ZIA enables the creation of a proactive strategy, positioning your brand ahead of the competition and aligning with consumer preferences. Embrace ZIA for enhanced shelf visibility and as a strategic ally, ensuring your drink brand stays ahead in a market driven by consumer choices. Embrace the Future: Elevate Your Beverage Strategy with ZIA Unlock unparalleled accuracy, efficiency, and ease with the most powerful image recognition technology on the market, ZIA. Request a demo today to dive into the transformative power of Synthetic Computer Vision. Stay ahead in the beverages category with a solution designed to reshape the future of field insights and retail execution. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

In today's rapidly evolving retail landscape, staying ahead requires embracing innovative technologies that provide actionable insights and optimise in-store performance. Neurolabs introduces In-Store Scene Understanding (ISSU), reshaping retail strategies and transforming how Consumer Packaged Goods (CPG) brands approach retail execution. Are you ready to change the way you do things and improve your retail execution strategies? Discover the power of ISSU technology for REX today. What Is In-Store Scene Understanding? Scene understanding is a type of artificial intelligence research that endeavours to impart to computers the capacity to perceive visual situations like humans. In-Store Scene Understanding is Neurolabs’ way of adapting this technology to the CPG industry. The ultimate goal of scene understanding technology is to equip machines with the capability to take appropriate actions based on their interpretation of the scenes they encounter. This transformative approach aims to bridge the gap between artificial intelligence and the complexities of visual understanding, paving the way for machines to interact with and respond to visual information in a manner that mirrors human cognition. In an industry marked by fierce competition and ever-evolving consumer expectations, ISSU can become a useful component in how CPG companies form successful retail execution strategies. ISSU empowers CPG brands to navigate the dynamic retail landscape, driving success and fostering growth by providing the insights needed to stay ahead of the curve and deliver exceptional experiences to consumers. Traditional IR & The Catalogue Management Challenge Effective Image Recognition (IR) relies on well-maintained catalogues, necessitating up-to-date SKUs and POP materials. Without a meticulously maintained and accurate catalogue, the endeavour to build IR technology to gather useful REX insights becomes futile. Traditional IR tools rely on the catalogue to extract meaningful insights, making accurate catalogue management indispensable for the success and efficacy of any IR system. There are currently two main approaches to catalogue management: The use of real data: Traditional Image Recognition tech relies on real images supplied by CPG brands, which can be slow and costly. Alternatively, some providers send agents to gather data, which adds to the overall solution expense. Scraping catalogue information from online sources: If you or your Image Recognition solution provider can't obtain real data for training, an alternative is to gather catalogue details from online sources like e-commerce websites. However, this approach is always incomplete, making it challenging for solution providers to ensure accurate SKU identification for comprehensive catalogue coverage. Overall, relying on real-world data or scraping online sources for Image Recognition proves time-consuming, costly, and inaccurate. These methods hinder the effectiveness of IR learning algorithms, limiting the actionable insights crucial for Consumer Packaged Goods companies. How ISSU Improves Your Catalogue Management ISSU aims to solve issues with catalogue management by providing a solution that utilises synthetic data, as opposed to the real-world data traditional IR vendors rely on. CPGs partnering with Neurolabs need only provide SKU artwork, preferably in the form of existing assets like print labels (typically in PDF format). This preferred method streamlines the data-gathering process, saving significant time and effort for the brands. In cases where artwork resources are unavailable, Neurolabs offers an alternative solution. The ZIA Capture App, our dedicated tool, empowers users with iPhones to swiftly scan and onboard an SKU in less than 30 seconds. This user-friendly application facilitates the representation of products as Digital Twins (3D models), contributing to the training of synthetic IR algorithms. There are numerous benefits to using this approach for your catalogue management, including: Complete Catalogue Coverage: ZIA achieves complete catalogue coverage by leveraging synthetic data and cutting-edge computer vision. It also allows you to onboard competitors' catalogues, giving you unique competitive insights. Faster Onboarding: In a typical scenario involving 50-100 SKUs, the entire catalogue can be successfully onboarded in less than two hours. The synthetic IR training model is then ready for deployment within a day. Higher Accuracy: Our technology boasts an impressive accuracy rate of +96% or higher from the outset. Competitive Edge: Data capture methods empower CPGs to commence training synthetic IR technology to detect products before they even reach the shelves, providing a substantial competitive edge. Improved Scalability: ZIA Capture makes it simple to add new products and scale up your catalogue. Furthermore, our technology seamlessly integrates into existing Sales Force Automation (SFA) solutions via API. This effortless integration not only reduces the time required for onboarding synthetic data sets and image recognition technology but also streamlines overall catalogue management processes for enhanced operational efficiency. Using ISSU to Gather Actionable Insights for REX With your catalogue taken care of, it becomes much easier for CPGs to extract useful and reliable actionable insights from the data that our technology gathers. ISSU integrates data from SKUs and promotional materials including Point of Purchase (POP) displays, with a focus on Share of Shelf (SOS). This helps CPGs to monitor their competitor's catalogues and find opportunities for the improvement and diversification of their retail execution, in addition to giving a holistic overview of the entire store execution. Whilst traditional planogram compliance focuses on internal catalogue limitations, hindering a comprehensive view of the entire retail environment, in-store scene understanding breaks these limitations, offering detailed insights into the entire category, shelf, or store, giving your CPG brand a competitive advantage. ChatCPG: How To Use Generative AI for Retail Execution Our generative AI solution, ChatCPG,  simplifies Perfect Store execution for CPG brands and Field Marketing Agencies. Rather than navigating through spreadsheets and dashboards, ChatCPG allows users to pose questions and receive accurate responses within seconds. Powered by Synthetic Image Recognition (SIR) technology from ZIA, ChatCPG analyses crucial shelf KPIs such as out-of-stock items, planogram compliance, share of shelf, and shelf availability. However, this AI assistant goes beyond shelf-level inquiries, enabling exploration of the broader store environment and competitor landscape. With strategic questions, users gain insights into product surroundings, fostering informed strategies without guesswork. ChatCPG provides instant insights on various aspects including shelf compliance, product availability, price analysis, competitor analysis, promotional display compliance, quality control, and inventory visibility. These detailed responses create strong actionable insights that CPG brands can work from to create a REX strategy and actions that actually work in the competitive marketplace. Find out more about ChatCPG here. Embrace The Future of Retail Execution Today Elevate the accuracy of your catalogue management practices, propelling your business ahead of competitors. To delve deeper into Neurolabs ZIA, download our complimentary ebook. Alternatively, for a firsthand experience of the effectiveness of our solution, reach out today to schedule a demo. We’re always happy to talk you through our solution and how it can benefit your business. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

In the beer and beverage industry, achieving heightened visibility is imperative for Consumer Packaged Goods (CPG) brands seeking a competitive edge. However, traditional image recognition (IR) methods often fall short in delivering proactive insights and are left grappling with real-world data challenges, leaving brands with insufficient information to form a proactive retail execution strategy. Enter ZIA (Zero Image Annotations) – a revolutionary technology powered by Synthetic Computer Vision, set to redefine beer category REX strategies. Leveraging In-Store Scene Understanding (ISSU), ZIA transforms how CPG brands optimise sales and product management by offering a comprehensive view of in-store dynamics, unveiling both brand and competitors' insights. Discover how our technology can elevate your brand in the rapidly expanding beer industry today! Synthetic Computer Vision: The Future Of CPG Insights Navigating the intricacies of catalogue coverage, insight accuracy, and swift execution poses significant challenges for CPG companies. Traditionally, the challenge lies in broadening catalogue coverage, often compromising insights quality and execution speed. As new products, SKUs, POP materials, packaging changes, and seasonal promotions continually arise, maintaining up-to-date catalogues becomes a laborious and complex task. Additionally, traditional IR technologies struggle to efficiently extract the necessary insights for CPG brands in this changing landscape. Neurolabs' ZIA (Zero Image Annotations) disrupts this dynamic by harnessing the power of synthetic data and advanced synthetic computer vision. By bypassing manual annotations and real-world data reliance, ZIA employs 3D digital twins (synthetic data) of CPG products in virtual scenes (synthetic computer vision). This approach is programmatically generated to ensure more precise and faster product detection and in-shelf insights, surpassing the capabilities of existing IR solutions. The result is a harmonious solution that accelerates decision-making for CPGs, striking a balance between breadth, depth, and speed in a rapidly evolving marketplace. A Proactive Technology: How ZIA Changes The Game ZIA (Zero Image Annotations) is Neurolabs’ solution for better catalogue management and stronger actionable insights. While most traditional image recognition solutions are reactive and can only work from real-world data, ZIA is proactive and uses a combination of synthetic data and computer vision to offer an intelligent way of gathering insights. Here are some of the key ways in which ZIA changes the game when it comes to improving your retail execution: Easily Create Digital Twins Our technology harnesses Synthetic Image Recognition to create digital twins that go beyond simple object recognition. These versatile replicas extend their utility from virtual environments to photorealistic 3D images tailored for e-commerce platforms. Featuring fully rendered packaging, unique product IDs, and precise dimensions, our digital twin approach offers multifaceted insights across CPG operations. Additionally, ZIA's standout 'Universal Artwork Approach' empowers users to effortlessly create these digital twins (3D models) from existing PDF and PNG artwork files, ensuring accurate and easy product onboarding. For products without artwork, the ZIA Capture app streamlines the process of obtaining it, swiftly capturing and creating models from items or SKUs with ease. Field agents or internal officers can use the app to quickly and accurately capture images of the product, creating a 3D model for your catalogue in minutes. Quick and Accurate Product Onboarding & Deployment Transforming the traditional timeline from weeks to mere hours, ZIA Capture, our user-friendly app, puts the control in your hands. Whether it's your field rep or a partner, anyone can effortlessly update the catalogue, reducing reliance on third parties and elevating accuracy. To onboard one SKU, ZIA cuts down the time to less than 30 seconds. Assuming a product catalogue of 50-100 SKUs, you can onboard the catalogue in less than 2 hours and have the model ready for deployment in less than a day, achieving +96% accuracy from day one. This accuracy continues to improve over time, with over 2 billion product images and 72 million shelf images training our algorithm. This increased ability to keep your catalogue up-to-date allows for richer insights while saving you time and effort, and the ability to deploy products at scale across multiple markets with ease. Enhancing Visibility with In-Store Scene Understanding (ISSU) Research shows that 70% of shopping decisions are made in-store, indicating that most consumers are easily swayed by enticing displays and price points rather than consciously seeking out specific goods they've decided upon before heading out to the shops. Staying vigilant and responsive in the dynamic beer category is vital to staying on top of competitors. New products, competitor campaigns, and shifting consumer sentiment demand constant awareness and immediate action. In this ever-changing landscape, in-store visibility is crucial. Embracing ZIA for enhanced shelf data collection ensures heightened visibility and maximises sales potential. Using ISSU, ZIA not only offers you a comprehensive view into your own catalogue, improving shelf compliance, ensuring product availability, and helping you to optimise promotional displays; but it also allows you to explore how your competitors are doing this. It does this by not only looking at shelf-level insights but also by taking in the whole scene that surrounds your products, including any promotional materials and those of your competitors. With the ability to understand competitors' product strategy and execution, you are able to create a strategy that will help your brand stay ahead of the game when it comes to understanding what works for the consumer. Simple Integrations, Big Impacts ZIA is designed to seamlessly integrate with your existing Sales Force Automation (SFA) solution, whether a third-party tool or an internal system. This flexibility extends to accommodating various SFA solutions, ensuring compatibility across diverse regions or locations. As a future-thinking company, Neurolabs ensures ZIA's adaptability to evolving industry needs. ZIA becomes the cornerstone for businesses seeking to stay ahead of the competition, offering not just a solution but a catalyst for innovation and success in the dynamic world of Beer Category Management. Improve Visibility with Synthetic Computer Vision Today Unlock unparalleled accuracy, efficiency, and ease with ZIA – a groundbreaking image recognition solution. Surpassing competitors, ZIA redefines catalogue management, retail execution, and shelf auditing for the beer & beverages categories. Dive deeper into its capabilities with our dedicated ebook. For a firsthand experience, request a demo and witness the transformative power of ZIA for your CPG brand. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

Catalogue management, a key aspect of business operations, is now undergoing a great amount of development. Image Recognition (IR) technology can only produce strong insights if it has access to an up-to-date, well-maintained catalogue. Without access to this information, it becomes extremely difficult to extract any actionable intelligence that can be used to improve your brand's retail execution. This is why the influence of artificial data for catalogue management extends beyond efficiency; it's about fundamentally altering how businesses perceive and interact with their product information. Neurolabs ZIA (Zero Image Annotations) uses synthetic image recognition technology to take the traditional management of catalogue management to unprecedented heights. It's a game-changing tool that liberates businesses from the constraints of conventional methods and provides a fresh perspective on how catalogues can be created, managed, and utilised to extract useful insights. Join us as we explore the intricate details of ZIA technology and how artificially generated data is thoroughly reshaping and improving the way businesses manage their catalogues in the digital age. ZIA: How Synthetic Data is Transforming Onboarding A key aspect of catalogue management is onboarding. Retail companies require a full, accurate catalogue of their products to keep on top of their retail execution strategies. The CPG space is dynamic and quick-moving, with a very high rate of change in product appearance. Therefore it’s essential to have an up-to-date product catalogue to utilise IR tools accurately. However, the onboarding process faces several hurdles that can impede efficiency, including, but not limited to: Dependency on Third-Party Services: Companies may need to engage third-party services to source product artwork or visuals, incurring significant expenses. Time-Consuming Data Collection: Gathering sufficient real data can be time-consuming, particularly when onboarding large Stock Keeping Unit (SKU) lists, leading to prolonged timelines. Human Involvement: The involvement of multiple individuals in the process introduces the risk of errors and can contribute to a slower processing time. For example, hiring a team of people to annotate images for IR can be time-consuming, costly and result in inaccuracies. These challenges hinder the effective scaling of operations and pose substantial time and cost constraints for businesses. Furthermore, the onboarding process extends beyond the initial cataloguing phase, as continual additions of new products, such as new SKUs and Point of Purchase (POP) materials, packaging changes, and seasonal promotions are ongoing aspects of the operation. Addressing these shortcomings is crucial for businesses aiming to streamline and optimise their onboarding procedures. ZIA revolutionises the field by eliminating the necessity for manual annotations and, notably, real data. Leveraging Digital Twins of Consumer Packaged Goods (CPG) products, which constitute synthetic data, within virtual scenes, ZIA redefines the landscape of product detection, and shelf and in-store scene insights. This innovative approach ensures unparalleled accuracy and speed, outperforming any existing solution currently available in the market. By harnessing the power of synthetic data and computer vision, ZIA sets a new standard for efficiency and precision in product detection within retail environments. Digital Twins for Faster Onboarding Recognising the expansive applications of Synthetic Image Recognition (SIR), our technology unlocks the potential of digital twins that transcend mere object recognition. Our digital replicas showcase remarkable versatility, evolving beyond integration into virtual environments to the creation of photorealistic 3D images tailored for e-commerce platforms. Our digital twin approach has multiple attributes, such as: Fully rendered packaging (including deformed packaging) Unique ID of each product version Exact Product Dimensions This wealth of data provides comprehensive insights across all aspects of CPG’s operations, offering a transformative impact on the retail industry. A key feature of ZIA is its 'Universal Artwork Approach,' which allows users to effortlessly create these 3D models from existing PDF and PNG files. Simply upload the artwork of the product or promotional material and it will create a digital twin for more accurate product onboarding. In the absence of artwork, our dedicated ZIA Capture app steps in with a streamlined process, capturing and creating a model from the item or SKU in just a few simple steps. Rapid Onboarding and Deployment ZIA introduces remarkable speed enhancements to the catalogue onboarding processes, slashing the timeline from weeks to mere hours. ZIA Capture, our dedicated app, empowers anyone (e.g. your field rep or a partner field rep) to keep the catalogue up to date. This reduces your reliance on 3rd parties or your IR Vendor, saving time, money and increasing the accuracy of your catalogue. Consider a scenario with 50-100 SKUs; utilising ZIA allows for the onboarding of the entire catalogue in less than two hours. Moreover, the synthetic Image Recognition (IR) training model can be prepared for deployment in less than a day, achieving an impressive +96% accuracy right from the beginning - an accuracy that continues to improve over time. The technology's access to a substantial amount of training data plays a pivotal role in maintaining and enhancing this accuracy. Instead of experiencing degradation over time, ZIA's accuracy improves with increased usage, making it an ever-evolving and superior solution for catalogue management. Competitor Insights: Onboarding Competitors' Catalogues In retail execution, where consumer attention is a precious commodity and loyalty hinges on split-second decisions, In-Store Scene Understanding (ISSU) becomes a fundamental asset for CPG brands. ZIA Capture’s cutting-edge capabilities help to reduce the time and costs associated with product onboarding and provide invaluable insights into competitor catalogues. A stellar retail execution not only ensures product availability but strategically places and presents items in an engaging manner. From captivating displays and prime shelf positions to impeccable inventory management, every facet of retail execution plays a pivotal role in shaping consumer purchasing decisions. Insights from ZIA allow CPGs to gain actionable insights into competitors' catalogues,  allowing them to stay ahead of the curve and deliver unparalleled consumer experiences. No Disruptions to Your Operation: Ease Of Integration ZIA is designed to collaborate effortlessly with your current sales force automation (SFA) solution, whether a third-party tool or an internal system, accommodating different SFA solutions across regions or locations. Our dedicated and knowledgeable team stands ready to assist you in successfully implementing ZIA into your existing pipeline. Whether you have questions or concerns, our experts are here to ensure a seamless integration process, maximising the benefits of synthetic data for your operations. Our goal is not to replace your current tools but to augment them with the transformative capabilities of synthetic data. Gain Stronger Insights With Generative AI Generative AI has emerged prominently recently, making waves across various domains. Landmark advancements in chatbot technology, exemplified by OpenAI's ChatGPT, created a significant impact on the way people want to search for information. Empowered by our state-of-the-art Synthetic Image Recognition technology our AI Retail Execution assistant, ChatCPG, utilises the extensive image recognition data gathered to form helpful insights for CPGs. This innovative technology adds an intelligence layer to the data, enabling you to effortlessly inquire about various aspects of Retail Execution and receive prompt and reliable responses – all within seconds. Just like other popular AI assistants, you can speak to ChatGPT using natural language for an easy, user-friendly experience. Whether you’re posing questions related to your captured data, finding out about shelf compliance, product availability, or adherence to promotional materials like POP Displays and POP Signage, ChatCPG is here to help. Improve Your CPG Catalogue Management With ZIA Are you ready to take the next step in improving your approach to catalogue management? Find out how artificially generated data can be the high-quality change you need. Book a demo today, or find out more by reading our dedicated eBook! At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

Embark on a transformative journey into the future of retail category management with our groundbreaking solution – synthetic data. In the ever-evolving landscape of the retail industry, where adaptability, scalability and precision are paramount, the team at Neurolabs believes it is fundamental to take an innovative approach to address the sector's most pressing challenges. Join us as we unravel the potential of synthetic data in overcoming retail's biggest catalogue and category management hurdles, driving unparalleled efficiency, and ushering in a new era of retail execution excellence. What Is Synthetic Data? Synthetic data refers to artificially generated data rather than data collected from real-world observations. It is created through various computational techniques, simulations, or generative models, aiming to mimic real data's statistical properties and patterns. Synthetic data can be valuable in scenarios where access to sufficient real data is limited, or when privacy concerns are associated with using actual data. It is often used for training machine learning models, testing algorithms, and conducting simulations without relying on sensitive or proprietary information. At Neurolabs, we use synthetic data in combination with computer vision to offer technology powered by synthetic computer vision for Consumer Packaged Goods (CPG) brands. Computer vision is a field of artificial intelligence that empowers machines to interpret, understand, and make decisions based on visual data, similar to human visual processing. It involves the development of algorithms and models enabling computers to analyse and extract meaningful information from images or videos. Computer vision systems use image recognition, pattern detection, and deep learning techniques to identify and interpret objects, scenes, and even actions within visual data. How Neurolabs Use Synthetic Data Here at Neurolabs, we recognise that real data has shown limitations in providing comprehensive solutions for CPG brands. When creating a catalogue of items for image recognition (IR), brands require high-quality data solutions for accurately onboarding and categorising their products. We realised that synthetic data was a far superior alternative to real-world data in this industry, offering a faster, more diverse, and more accurate means of creating an imagery database. Neurolabs' innovative approach to synthetic data management involves using a combination of synthetic data and computer vision (CV) to create a synthetic computer vision solution called ‘ZIA’ (Zero Image Annotations). While most traditional IR is reactive, as it can only conduct image recognition on already launched products using only real images, ZIA is entirely proactive. With up-to-date catalogues driven by this synthetic data, brands can gain better actionable insights, allowing them to craft stronger REX strategies to increase their bottom lines. Our technology aims to make the process of onboarding and organising products more efficient, and the process of gaining actionable insights superior and far simpler. Introducing Our Technology, ZIA ZIA revolutionises the landscape of image recognition for CPGs by eliminating the traditional reliance on real-world data. Unlike conventional IR approaches, ZIA leverages synthetic data, a groundbreaking alternative that mimics real-world patterns more efficiently, diversely, and accurately. There are 4 key steps to using ZIA to onboard new products to your catalogue: Data Collection: CPGs can upload the artwork label of their product or promotional material, and if that is not available they can use the ZIA Capture app to collect the correct data. 3D Asset: Using the artwork or input from ZIA Capture, a high-quality 3D digital twin is generated for each SKU or item. Virtual Environment: With your digital twins created, ZIA is able to train on its own in a huge variety of virtual scenes, built with your custom 3D assets. Trained Algorithm: Deployed in the real world, ZIA recognises products in scope with +95% accuracy from day one. Our simple upload solutions make it easy to create new product categories and easily search your catalogue for specific SKUs. Additionally, ZIA is designed to be simple to integrate with your existing solutions and tech stack via cloud APIs. We want to make your onboarding experience easier, faster and more efficient. ZIA: Using Synthetic Data for Better Catalogue Management Consumer Packaged Goods brands often encounter various challenges when it comes to their catalogue management. From a slow onboarding process to expensive third-party costs, there are many things which may hinder the way CPG brands create a catalogue. Let’s take a look at some of the biggest issues in catalogue management and how Neurolabs ZIA technology aims to solve them: Lack of Catalogue Coverage: Issue: Traditional IR focuses primarily on real-world data, often limiting its scope to a company's internal catalogue and product displays. Solution: Leveraging insights derived from ZIA also empowers CPG brands to onboard and acquire actionable information about competitors' catalogues. This strategic advantage enables them to stay ahead of industry trends, seize opportunities and ensure the delivery of unparalleled experiences to consumers. Reliance on Real Data: Issue: Depending solely on real-world data for image recognition can be challenging, slow, and expensive. Solution: Neurolabs employs synthetic data, offering a faster, more diverse, and more accurate way to build an imagery database, reducing reliance on costly and time-consuming real data. Inefficient Onboarding Processes: Issue: Traditional methods of adding new products to the catalogue can be tedious, costly and often result in inaccuracies. Many CPG brands struggle to keep an up-to-date catalogue because of this. Solution: Neurolabs' ZIA Capture facilitates rapid onboarding, reducing the time it takes to add new products, and ensuring adaptability to industry changes and customer demands. This process reduces onboarding time by a whopping 97% compared to traditional methods. Incomplete or Inaccurate Data: Issue: Gathering data from online sources for catalogue information may result in incomplete or inaccurate details. Solution: ZIA Capture's Universal Artwork Approach allows the creation of 3D models effortlessly, ensuring a high degree of accuracy and eliminating the need to rely on unreliable, error-prone imagery. Costly Catalogue Management: Issue: Traditional catalogue management methods can require third parties or a dedicated own team that is costly and inefficient. Solution: Neurolabs' technology streamlines the onboarding processes, reducing costs and enabling scalability, keeping up with market changes and competitors. Limited Scalability: Issue: Traditional methods hinder the scalability of catalogue management processes. Solution: ZIA Capture's speed improvements and automated processes enable scalability, ensuring efficient handling of large SKU volumes. Lack of Insights: Issue: Traditional IR focuses primarily on real-world data, often limiting its scope to a company's internal catalogue and product displays. Solution: Leveraging insights derived from ZIA also empowers CPG brands to onboard and acquire actionable information about competitors' catalogues. This strategic advantage enables them to stay ahead of industry trends, seize opportunities and ensure the delivery of unparalleled experiences to consumers. In summary, Neurolabs' technology addresses catalogue management challenges by leveraging synthetic data, streamlining onboarding processes, reducing costs, and enhancing accuracy and scalability for CPG brands. Embrace Synthetic Data: Book A Demo Today Representing a true breakthrough in image recognition, ZIA stands out as an exceptionally accurate, efficient, and hassle-free solution to improving your catalogue management, retail execution and shelf auditing capabilities. Its abilities surpass those of nearly every other image recognition solution currently available in the market, making it an exciting advancement in the field. To find out more about how ZIA uses synthetic data to empower retail solutions, take a look at our dedicated ebook. You can also request a demo to see firsthand how our technology could help your CPG brand thrive. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

Scene Understanding, within artificial intelligence research, endeavours to impart to computers the capacity to perceive visual situations like humans. It involves interpreting and comprehending the elements within an image or scene, mirroring human cognitive processes. At its core, Scene Understanding strives to empower machines to perceive, comprehend, and rationalise the visual realm, enabling them to undertake suitable actions based on their interpretation of the scene. By leaning into the capabilities of In-Store Scene Understanding (ISSU) technology with innovative solutions from Neurolabs, Consumer Packaged Goods (CPG) and retail businesses can use ISSU to gain comprehensive insights into their operational dynamics, customer behaviour, and competitive strategies within physical retail spaces. What Is In-Store Scene Understanding (ISSU) Technology? ISSU, or In-Store Scene Understanding, transforms how CPG brands boost sales and manage products. It offers a full view of what's happening in stores, showing both a brand's and competitors' activities. This is fundamental when it comes to retail execution. For CPG brands, the battleground is the retail environment, where products vie for attention and consumer loyalty is won or lost in a matter of seconds. Stellar retail execution ensures that products are available for consumers and that they are strategically placed but also presented in an engaging and appealing manner. From eye-catching displays and prominent shelf positions to impeccable inventory management, every facet of retail execution influences the consumer's purchasing decision. In an industry where competition is fierce and consumer expectations are ever-evolving, the art of retail execution emerges as a crucial differentiator, driving the success and growth of CPG businesses. Unlike older methods that rely only on real-world data, ISSU uses synthetic data to understand visuals better. Ultimately, this replaces the outdated constraints of 'Planogram compliance,' liberating brands from their exclusive product focus. It offers an expansive perspective on the retail environment, encompassing not only the broader competitive space but also extending to the complementary ongoing promotional activities within the store. Streamlining Retail Operations With ZIA Nerolabs ZIA (Zero Image Annotations) transforms Consumer Packaged Goods image recognition by eradicating manual annotations and reliance on real data. Leveraging 3D assets and virtual scenes of CPG products, ZIA swiftly delivers precise product detection and in-store insights. This innovative approach offers faster, more accurate results at a reduced cost compared to other solutions. Pioneering Retail Success through Advanced Image Insights In today's fast-paced retail landscape, staying ahead means embracing innovative technologies that streamline operations and offer a competitive edge. Enter ZIA Capture, our transformative onboarding tool revolutionising the SKU (Stock Keeping Unit) and POP (Point of Purchase) material integration process. Its cutting-edge capabilities reduce time and costs and provide invaluable insights into competitor catalogues. The breakthrough lies in resolving the long-standing challenge that has been holding you back: catalogue management. This is achieved through effective solutions, such as: Universal Artwork Approach: Bid farewell to artwork concerns. Generate precise 3D models swiftly, enabling rapid onboarding without specific artwork. Moreover, delve into your competitors' catalogues, leveraging competitor insights effortlessly. Automated Barcode Recognition: Simplifying SKU addition, ZIA Capture automatically uploads barcodes. Manual input of EAN/UPCs is eliminated, enabling seamless product and category search and reporting within your catalogue. Efficient Onboarding: ZIA Capture accelerates the entire catalogue onboarding process, delivering a synthetic IR training model ready for deployment within a day. Achieve over 96% accuracy from the start, onboarding 50 - 100 SKUs in under two hours, with the potential for even faster future processes. Embracing ZIA Capture in retail operations marks a significant stride toward efficiency, cost-effectiveness, and market agility. Using ZIA for SKU and POP Onboarding ZIA Capture streamlines the SKU and POP material onboarding process, reducing time and costs significantly. Several key advantages drive this streamlined experience: Efficiency: Streamlined onboarding processes significantly reduce the time and effort required to add new products to the catalogue. This efficiency translates to quicker time to market, enabling faster responses to market demands and trends. Cost Savings: Businesses can reduce operational costs associated with manual data collection by automating tasks like barcode recognition and universal artwork creation. The faster onboarding process also means quicker time to market, potentially increasing revenue streams. Competitive Edge: Accessing competitor insights by onboarding their catalogues allows businesses to swiftly understand market trends and competitor product positioning. This valuable information aids in making informed decisions and devising competitive strategies. Accuracy and Consistency: ZIA Capture's automated processes enhance accuracy and consistency in product data management. This ensures the catalogue is up-to-date, minimising errors and discrepancies, ultimately improving customer satisfaction. Adaptability and Scalability: The rapid onboarding capabilities of ZIA Capture facilitate the easy addition of new products and scale-up of the catalogue. This adaptability is crucial in keeping up with industry changes and customer demands. By leveraging this innovative technology, businesses can pave the way for streamlined operations, better-informed strategies, and sustained competitiveness in the retail landscape. A Perfect Partnership: Generative AI & ISSU As demonstrated above, ISSU provides valuable insights for various important industry adaptations. However, the key lies in leveraging these insights effectively to get the best results possible. Generative AI simplifies this process, enhancing productivity. An AI assistant can provide instant access to valuable knowledge and enhancements when paired with a well-organised catalogue. Introducing, ChatGPG ChatCPG, our AI tool, empowers CPG brands and Field Marketing Agencies (FMAs) to achieve Perfect Store execution effortlessly. Instead of the hassle of sifting through numerous spreadsheets and dashboards for information like compliance percentages in specific locations, you can ask ChatCPG the same question and receive an accurate answer within seconds. ChatCPG utilises cutting-edge synthetic IR technology, leveraging data sourced from ZIA to analyse crucial shelf Key Performance Indicators (KPIs) such as out-of-stock items, planogram compliance, share of shelf, and shelf availability. For example, if you ask about specific details like the availability of Pepsi products in a specific branch in Waitrose, Surrey, ChatCPG swiftly scans your data and provides an accurate response within seconds. How ChatGPG Helps ChatCPG elevates ISSU's capabilities by enabling effortless verbalisation of the in-store scene. It goes beyond mere shelf-level inquiries, allowing exploration of the broader store environment and competitor landscape. By asking strategic questions, you gain insights into the surroundings of your products, empowering informed strategies without guesswork. You can use the technology for important, instant insights on things such as: Shelf compliance Product availability Price Analysis Competitor analysis Promotional display compliance Quality control Inventory visibility With each inquiry, ChatCPG crafts a detailed and precise snapshot, presenting a substantial competitive edge that, when utilised, fosters exponential growth. And the possibilities don't end there! By integrating insights from ZIA with other data sources (such as sales orders and historical sales performance), ChatCPG can seamlessly guide your retail execution team with actionable suggestions. Transition from capturing a few photos to gaining actionable insights in a matter of seconds! Ready To Embrace ISSU? Partner With Neurolabs & Transform Your Business Here at Neurolabs, pioneering ISSU in the retail industry is at the forefront of what we do. Our technology stands as a catalyst, strategically propelling numerous retail companies towards growth. Leveraging ISSU, we've empowered businesses to identify weaknesses, amplify strengths, and chart a course for success. To discover how our innovative solutions can drive your business forward, reach out to us today. We're eager to collaborate and propel your journey towards retail excellence. At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.

Greetings to All, With the end of the year on the horizon, it is time to take a deep breath and look back on a year that was as unpredictable as it was rich in learning experiences. This year, we've experienced both the positives of the remarkable advancements in AI and the challenges of a rough financial climate. Generative Pre-Trained Transformers (GPTs), and specifically ChatGPT, have lowered the entry barrier for AI adoption while displaying an impressive array of skills. The speed of adoption is mind-blowing - at my local barbershop, there’s a wall of pictures with hairstyles made with “GenAI”. This technology is bound to touch every industry in the shortest amount of time. At the same time, we've faced strong economic headwinds – rising interest rates and a slowing economy have touched us all. Some of the signs were closer to home than others: one of our investors closed a 1/10th of the investments they did the year prior, and in December, the law firm we partner with is handling three separate company closures. To call it a rollercoaster would be an understatement. The Dawn of Specialised AI Solutions As we navigate this sea of change, we recognise the long road ahead to AI commoditisation, and that the adoption curve is just at its beginning. Off-the-shelf AI solutions that meet the demanding needs of Consumer Packaged Goods (CPG) brands are far away from today’s reality. This brings us to a common question: How do we compare to giants like Google or Microsoft? Their cloud offerings are growing every year, and with the advent of Large Language Models, one can only wonder what’s the ceiling for what AI can do. While certain aspects like infrastructure and algorithms are becoming more accessible, the true value lies in the specifics of the industry - the nitty-gritty details that define success in the CPG space. This dichotomy reminds me of Archilochus' fox-hedgehog parable: 'The fox knows many things, but the hedgehog knows one big thing.' In the realm of CPG, it's the experts (hedgehogs) who thrive amidst the generalists (foxes). Our ability to focus on the distinction lies in two key areas: catalogue specificity and technology robustness. For instance, while Microsoft might offer the latest GPT-4 Vision models integrated into their cloud offering, they aren’t getting anywhere near the level of specificity required to understand a complex retail scenario. Neurolabs’ strength is our up-to-date product catalogue matched with the latest AI algorithms - a level of specificity and robustness that, in my opinion, neither Google through their retail-specific Product Recogniser solution nor Microsoft with Cloud for Retail can currently match. Looking Ahead: From Shelf Visibility to Actionable Insights As we move into 2024, our vision is clear. We will push the boundaries of what AI can offer in the CPG space. Beyond offering visibility on the shelf execution and supply chain, AI models can deliver actionable insights to the field agent, marketing manager, and the head of sales alike. Throughout this year, I often resonated with the concept of the 'Innovator’s Dilemma' - a successful company will struggle to adapt to new technologies because they are focused solely on refining their existing products. Throughout the year, it became evident that this challenge is omnipresent in Retail and CPG sectors. The urgent need for AI and automation adoption is recognised quickly by leaders in the space, as it is evident that what used to work yesterday will no longer work tomorrow. Labour shortages and the demand for more efficient supply chains will force the adoption to happen, even in an industry often called a laggard. In closing, I extend my deepest gratitude to every member of the Neurolabs team and our patient shareholders. Your dedication, creativity, and hard work have been the driving force behind Neurolabs closing the year with 3x the revenue that we started with. Together, we are not bystanders in the AI revolution; we are at its forefront, shaping the future with a focus on our target market - the Consumer Packaged Goods space. To our clients, I thank you for putting your trust in us from an early stage. It’s a long journey ahead, and it’s a privilege to have all of you supporting us as we navigate these uncharted waters. It is your insights and feedback that push us to innovate and strive for excellence. Wishing you all a prosperous and groundbreaking new year. Warm regards, Paul Pop CEO, Neurolabs

We created Neurolabs to solve the problem of high costs and manual labour involved in annotating everyday objects for image recognition (IR) in machine learning recognisers. Our breakthrough came from recognising real-world objects with high accuracy by training computer models with millions of synthetic scene versions and simulating real-world conditions. We swiftly recognised that applying digital twins enabled by Synthetic Image Recognition (SIR) could be used beyond object recognition. These digital replicas proved versatile, extending their utility from integration into virtual environments to creating photorealistic 3D images for e-commerce platforms. The Grocery and Consumer Packaged Goods (CPG) sectors were among the early adopters, captivated by the transformative potential of our technology. Working with leading Global brands, we developed the idea of creating digital twins that mirrored a product's lifecycle. By having access to digital twins across the product's lifecycle, clients could see how they could materially improve their operations. In this blog post, we will outline the lifecycle of a typical product and explore how a CPG can benefit and improve its operations across that lifecycle, from manufacturing to recycling. Digital Twins Digital Twins were first voiced in 1991 in a publication by Gelernter called Mirror Worlds, but their first known application in manufacturing was by Dr. Grieves in 2002. The first applications were creating simulations to model an object's behaviour before manufacturing a prototype. Still, with the rise of the Internet of Things (IoT), applications rapidly expanded to measuring the output of sensors on real-world objects and managing the real world. The traditional view of a "Digital Twin" refers to a digital representation or virtual counterpart of a physical object, system, or process. A “twin” is a digital model replicating the real-world entity in a digital environment, allowing for real-time monitoring, analysis, and simulation. The concept involves creating a dynamic and interconnected digital replica that mirrors the physical entity's characteristics, behaviour, and changes over time. By collecting and integrating data from sensors, IoT devices, and other sources, Digital Twins enable organisations to gain insights into the performance, condition, and status of the corresponding physical object or system. At Neurolabs, we believe that, like many advanced users of Digital Twins such as Rolls Royce, Digital Twins are multi-layered and are of most value when context is included in the twin. What do we mean by context? A context could be a process that is applied to an object. Commonly, one would think of manufacturing, but at Neurolabs, we would, for example, add the context of Marketing. Imagine a SIR-enabled sensor identifying a promotional version of product packaging that is now being manufactured and alerting the Marketing team to initiate the planned marketing activities. This version of the digital twin exists in parallel with the manufacturing “twin” that doesn’t care about the packaging version. The manufacturing twin's purpose is to monitor the weight, shape, and volume to ensure the manufacturing line is running smoothly. In both cases, there is a “model” of the packaging, the latter recognising both special “promotional” and “regular” as the same item. Similarly, at “end of life”, another version of the twin would be the deformed packaging that allows SIR-sensors to differentiate between recyclable products and general waste. Historically, it was expensive to create digital twins, so the "twinning" was initially limited to industries with high-value products. However, more and more companies are using the technique to improve their businesses. At Neurolabs, we believe the time is already upon us to apply the concept to everyday products on grocery store shelves everywhere. Our digital twin approach has multiple attributes, such as: Fully rendered packaging including deformed packaging Unique ID of each product version Nutritional information Weight, dimensions, volume, location Inclusion of EAN/UPC barcodes This wealth of data provides comprehensive insights across all aspects of CPG’s operations. By embracing the multi-layered nature of Digital Twins and integrating context, we aim to redefine their application, offering a transformative impact on the retail industry. What are CPG's priorities? Many consulting organisations have surveyed CPGs and synthesised what they consider essential to the success of their business. Those essentials have stayed the same over time. They are to manufacture, distribute, sell, and increasingly sustainably recycle their products with minimal waste of raw materials at a healthy profit. However, in an increasingly competitive market, the difference between those that execute well and those that do not is stark. McKinsey reports that while every company "leaks" value at various stages in their process, those who follow through and sustain their initiatives retain 2.0x the value compared to those whose "peter out." In recent studies, both McKinsey and Salesforce highlight that achieving step changes in: Functional Excellence Adapting to the Modern Consumer Increasing Enterprise Resilience are the keys to staying ahead. In short, it is all about persistently transforming business processes to meet market challenges. Achieving this transformation is extremely difficult without data about the product at every process step. At present, gaps in data across the life cycle mean that collaboration and process improvements are hindered or even unimplementable. To illustrate how access to that missing information can enable change, improve collaboration and increase value, we looked at the life cycle of a product (SKU) and where our capability could unlock the bottlenecks. Manufacturing Whilst we have some experience with products before packaging, see our work with Sagra Technologies, SIR shines post-packaging. The technology is straightforwardly used to: Verify labels to ensure a product does not leave manufacturing with incorrect labelling, such as wrong batch and expiry dates, avoiding expensive recalls in the supply chain. In the US, the Food Marketing Institute found that recalls cost companies an average of $10 million in direct costs alone. Identifying specific promotional packaging in the manufacturing process, enabling collaboration with marketing to trigger campaign execution precisely. According to Salesforce research, 87% of CPGs spend between 20% and 50% of gross revenue on promotion, so getting the timing right is revolutionary. Logistics As we now have fully rendered models of our product, we can start to do clever scheduling of promotions from within automated warehouses. In an automated warehouse, a picking robot such as those used by Ocado could be used to choose a specific product version to send to a particular post-code or for timed delivery to coincide with external trade promotions or digital marketing. Similarly, if a specific product is in a local quick commerce centre, SIR-enabled picking devices can pick a precise product with the same benefits. SIR-enabled logistics makes it straightforward to track exact products arriving at goods inwards and equally at goods out, something a barcode cannot replicate. Further, as mentioned in the manufacturing section, if a product recall is initiated, those robots or SIR-enabled picking devices could automatically remove the product from the warehouse stock. Retail Once a specific product arrives at a retail location, SIR begins to shine. To set some context, Trade promotion, according to McKinsey, is up to 20% of a CPG’s revenue, and by extension, poor delivery of the process from budgeting through execution to evaluation has a material impact on the bottom line. As the marketing team has been notified that a particular variant is now in the logistics chain, one can more precisely coordinate digital marketing campaigns to drive footfall, making trade promotions more effective, a capability unheard of previously. With this knowledge, field teams can be timetabled to encourage compliance using SIR-enabled devices. Since compliance has been estimated to be 55% by the Promotion Optimisation Institute, gains in compliance will revolutionise the industry. For all the focus of a CPG to improve promotion effectiveness, a customer can only buy what is on the shelf! Given that it’s known that 65% of shoppers don't buy the product when presented with an out-of-stock (OOS), it is imperative that shelves for those items, which, as a CPG, you have paid to be promoted, are replenished promptly. With cameras (fixed or mobile) equipped with SIR, OOS can be recognised in real-time, and rapid action can be taken. With the stress driven by the cost of living crisis, Grocers are experiencing far higher shrinkage levels. With the rise of self-scan, a typical behaviour is to scan the barcode of a less expensive item and place a more expensive item in the cart. “Swapping” has now extended to produce. With SIR recognition cameras placed above weight scales, shoppers can be nudged to identify the item correctly. The same capability for packaged goods can be enabled at self-checkout, reducing shrinkage. Continuing on the theme of loss, another increasing cause of revenue loss is the rise of counterfeiting. Initially, counterfeits were confined to high-value items such as designer clothing, but counterfeits are increasingly popping up at lower price points. Counterfeit premium alcohol is sufficiently widespread to account for losses totalling $500-$700m/pa. Often, the counterfeits have subtlety different packaging, with SIR-detection embedded watermarks, fakes can be detected quickly and cheaply. It is an urban legend that Cashiers at certain supermarkets are very quick at processing a shop. The cashier's skill is to orient a product so the till immediately scans a barcode. With SIR-enabled tills, orientation isn’t a problem, enabling more rapid checkouts with less staff per open lane. In the Home According to Wikipedia, LG released the first Internet-connected fridge in 2000, which used cameras to “know” what was inside. However, since then, with the rise of the smartphone, people now routinely scan a product to capture its nutritional value in a calorie-counting app or to add it to an online shopping order. With SIR on those different apps, CPGs could pay to receive the information and build up a “profile” of a household or pay to or offer a promotion to incent the shopper to add a substitute to the order. Recycling At the end of a product's lifecycle, there is almost always waste. CPGs, to keep perishable items fresh, have used packaging that continues to contribute to the vast mountains of waste plastic dumped into landfills. A crucial part of recycling is sorting the waste at the first disposal point. Not too long ago, humans were the only sorting devices. However, with the increasing rise in smart bins, beginning in public spaces, SIR-enabled bins will soon efficiently sort waste with models supplied by CPGs as a public service. The data collected enables the tracking of where and what can be recycled. Sources: Secrets to implementation success, MkKinsey 2016 Operations as a competitive advantage in a disruptive environment, McKinsey 2016 Consumer Goods Industry Insights Report, Salesforce 2023 At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.