UST Smart Shelves Retail Analytics Solution with Data-Driven Insights

UST Smart Shelves Retail Analytics Solution, featuring data-driven insights, is an AI-powered smart shelf and retail analytics platform built on AWS. It turns static shelves into dynamic shelf-edge displays that act as in-store retail media and shopper engagement channels. Using edge computing, computer vision, and integrations with POS, inventory, and other retail systems, UST Smart Shelves delivers real-time insight into shopper behavior, dwell time, and product interaction at the point of decision.

Retailers and brands use the platform to run targeted, context-aware promotions and campaigns directly on the shelf, triggered by time of day, traffic, weather, or product availability. A cloud-native CMS on AWS provides centralized control of creative, targeting, and scheduling across stores, while dashboards deliver analytics and attribution that connect shelf engagement to transactions, ROAS, and basket size.

Designed for grocery, convenience, pharmacy, QSR, specialty, and big-box formats, UST Smart Shelves integrates with existing infrastructure to minimize disruption while unlocking new media revenue, improving category performance, and delivering more relevant in-store experiences.

**Key Features **

• AI-powered digital shelf-edge displays: Deliver dynamic, high-impact content at the shelf using AI and computer vision to adapt messaging based on shopper behavior and in-store context.
• Context-aware in-store promotions: Trigger offers and messages using inputs like store traffic, time of day, weather, inventory levels, and local events to keep content relevant and timely.
• Real-time retail analytics at the shelf: Capture footfall, dwell time, product interaction, and conversion data to understand how shoppers browse, compare, and decide in front of the shelf.
• Closed-loop attribution with POS systems: Connect digital shelf exposures and interactions to POS transactions so retailers and brands can measure ROAS, uplift, and campaign performance with confidence.
• Cloud-native CMS on AWS: Use a centralized, AWS-based content management system to manage creative, targeting rules, playlists, and schedules across stores and smart shelf networks.
• Edge–cloud architecture for low latency: Run experiences at the edge for fast response and resilience while synchronizing with AWS for configuration, analytics, governance, and fleet management.
• Integration with core retail systems and data feeds: Integrate with POS, inventory, loyalty, and Wi-Fi analytics to align content with promotions, stock levels, shopper segments, and broader retail media strategies.
• A/B testing and campaign optimization: Test creative, placements, formats, and offers directly on smart shelves and use built-in analytics to continuously optimize based on real-world performance.
• Scalable deployment across formats and locations: Support shelves, endcaps, coolers, freezers, and other digital fixtures, enabling consistent in-store retail media execution across banners, formats, and regions.

Key Benefits

• Monetize shelf space as in-store retail media: Turn physical shelves into a retail media network that generates incremental advertising revenue from CPGs and brand partners using existing store traffic.
• Increase conversion and average basket size: Present relevant offers and product messages at the exact moment of decision, helping shoppers choose confidently and driving higher conversion and basket value.
• Gain granular visibility into shopper behavior: Use detailed retail analytics to see where shoppers dwell, which products they engage with, and which messages drive interaction and sales at the shelf.
• Optimize assortment, planograms, and pricing: Apply insights from smart shelf performance to refine category layouts, adjust assortments, and tune pricing and promotions for better in-store outcomes.
• Enhance the in-store shopper experience: Provide timely, helpful information and promotions on digital shelves, improving satisfaction, loyalty, and perception of the physical store experience.
• Support high-ROI retail media campaigns: Offer brands transparent attribution, uplift analysis, and ROAS metrics that justify spend and encourage repeat investment in in-store retail media.
• Simplify operations with centralized control: Manage content, targeting, and reporting centrally while automatically deploying updates to devices across the network, reducing manual effort for store teams.
• Reduce IT burden with AWS-based architecture: Leverage secure, scalable AWS services and edge-managed devices instead of complex custom infrastructure, simplifying deployment and lifecycle management.
• Align in-store retail media with omnichannel strategy: Use insights from smart shelves to complement ecommerce and digital advertising, creating a unified retail media strategy across physical and digital channels.