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Writer's pictureMaria Henry

Consumer Insights: How ZIA's Synthetic Image Recognition Optimises Cosmetics Category Strategy


In the cosmetics industry, achieving heightened visibility and understanding your consumer demands is imperative for Consumer Packaged Goods (CPG) brands seeking a competitive edge.


However, traditional image recognition methods often fail to deliver the proactive insights needed to do this. They grapple with real-world data challenges, leaving brands with insufficient information for a proactive retail execution strategy.


Enter ZIA (Zero Image Annotations), a cutting-edge enterprise platform powered by Synthetic Computer Vision, which is set to redefine Retail Execution in the cosmetics category. 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 consumer and competitor insights.


Discover how our enterprise platform, ZIA, can elevate your brand's visibility in today's rapidly expanding cosmetics industry.


Staying Ahead: The Synthetic Approach


Navigating the complexities of catalogue coverage, insight accuracy, and rapid execution presents substantial challenges for cosmetic CPG companies. 


The cosmetics category encompasses a wide array of SKUs, including skincare, makeup, haircare, and personal care products. Each category contains numerous subcategories and variants, making it challenging for image recognition systems to identify and differentiate each product accurately.


Traditionally, expanding catalogue coverage often comes at the cost of reduced insight quality and slower execution. The constant introduction of new products, SKUs, POP materials, packaging changes, and seasonal promotions makes maintaining up-to-date catalogues labour-intensive and complicated. 


Moreover, traditional image recognition technologies lack the proactivity to efficiently extract the necessary insights for CPG brands in this ever-evolving landscape.

Neurolabs' ZIA (Zero Image Annotations) optimises this process by leveraging synthetic data. Instead of relying on manual annotations and real-world data, ZIA uses 3D digital twins of CPG products in virtual scenes. 


This method, which is programmatically generated, ensures more accurate and faster product detection and in-shelf insights, outperforming traditional IR solutions.


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A Proactive Technology: Intelligent Insights For Smarter Decision-Marking 


ZIA is Neurolabs' innovative solution for enhanced catalogue management and actionable insights. Unlike traditional image recognition solutions that rely solely on real-world data and are often reactive, ZIA takes a proactive approach. It combines synthetic data with advanced computer vision to gather insights intelligently.


Here are some of the key ways in which ZIA can be an asset to your CPG brand:


Easily Create Digital Twins


Our technology harnesses Synthetic Image Recognition to create digital twins 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.


elnette hairspray

ZIA's standout 'Universal Artwork Approach' also 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 mobile app streamlines the process of obtaining it, swiftly capturing and creating models from items or SKUs quickly. 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, gives you control over catalogue updates. Whether it’s your field rep or a partner, anyone can effortlessly update the catalogue, reducing reliance on third parties and improving accuracy.


In this demonstration, our team shows you how easy it is to onboard new products using the ZIA Capture mobile app. From Lego sets to cosmetic products, ZIA makes onboarding quick, efficient and effective.


ZIA reduces the time to onboard one SKU to less than 30 seconds. For a product catalogue of 50-100 SKUs, you can complete the onboarding in under two hours and have the model ready for deployment within a day, achieving over 96% accuracy from day one.


This accuracy continues to improve over time, thanks to over 2 billion product images and 72 million shelf images training our algorithm. Keeping your catalogue up-to-date enables richer insights, saves time and effort, and allows for quick deployment of products at scale across multiple markets.


Additionally, ZIA's 'Universal Artwork Approach' empowers users to effortlessly create digital twins from existing PDF and PNG artwork files of manufacturing labels, ensuring accurate and fast, automated product onboarding.


By leveraging a CPG's master DAM (Data Asset Management) catalogue or directly integrating with third-party DAM providers, you can easily upload or find product artwork. 


Understanding Your Consumers: Actionable Insights


Staying vigilant and responsive in the dynamic cosmetics industry is crucial for staying ahead of competitors. New products, competitor campaigns, and shifting consumer sentiments, especially towards sustainability, demand constant awareness and immediate action. In this ever-changing landscape where brand loyalty is facing new challenges, in-store visibility is essential.


An illustration of ISSU
ZIA's Scene Understanding gives you a panoramic view of the in-store environment (scene) around your products to obtain insights into shelf activity, promotional materials, displays, and your competitor's strategies.

Embracing ZIA for enhanced shelf data collection ensures heightened visibility and maximises sales potential. Using ISSU (in-store scene understanding), ZIA provides a comprehensive view of your catalogue, improving shelf compliance, ensuring product availability, and optimising promotional displays. Additionally, it offers insights into how competitors manage their displays and promotions.


ZIA captures shelf-level insights, taking into account the entire scene surrounding your products, including promotional materials from both your brand and competitors. 

Understanding your competitors' product strategies and executions enables you to develop informed strategies that resonate with increasingly sustainability-conscious consumers. This comprehensive approach helps your brand stay ahead by understanding what works for the consumer and adapting swiftly to the market. 


A New Technology for a Changing Market: Embrace ZIA Today 


In conclusion, ZIA is an innovative new platform for the cosmetics industry, offering unparalleled in-store visibility and competitive insights. 


By integrating seamlessly with your existing Sales Force Automation (SFA) solution, whether a third-party tool or an internal system, ZIA enhances your ability to manage product catalogues, ensure shelf compliance, and optimise promotional displays. 


Its advanced capabilities in capturing and analysing shelf data provide a strategic advantage, allowing you to stay ahead in a rapidly evolving market. And, as consumer preferences shift towards sustainability, ZIA equips you with the insights needed to adapt and thrive, ensuring your brand remains competitive and aligned with customer values.


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