TechnologyUnlocking Omnichannel Insights: Where Online Data Meets In-Store Behavior

Unlocking Omnichannel Insights: Where Online Data Meets In-Store Behavior

Key Takeaways:

  • The retail landscape is shifting with the integration of AI and automation in brick-and-mortar stores to provide a more personalized and efficient shopping experience.
  • AI-driven personalization is transforming the in-store experience by allowing retailers to respond to shoppers in real-time and offer personalized recommendations.
  • Retail media is redefining in-store advertising by providing a dynamic platform for personalized promotions and product recommendations.
  • Emerging in-store technologies are connecting digital insights with real-world shopper behavior, enabling retailers to optimize staff workflows and inventory.
  • Smart carts and other in-store technologies are opening up new revenue streams and business models for brick-and-mortar retailers.

Introduction to the Shifting Retail Landscape
The retail landscape is undergoing a significant transformation. After years of relying heavily on e-commerce, major retailers are now focusing on bringing shoppers back into physical stores. To achieve this, they are leveraging a range of new technologies, including AI and automation, to create a more engaging and personalized shopping experience. As foot traffic increases, consumers are seeking immediacy and hands-on experiences, but their expectations have changed. They want the convenience of online shopping without sacrificing the ability to see products in person. This shift is driving retailers to integrate AI and automation directly onto the store floor.

The Role of AI in Retail
According to Gadi Graus, CEO of A2Z Cust2Mate, the real value of AI in retail lies in its ability to connect operational efficiency with personalized customer engagement. On the operational side, AI automates tasks such as inventory tracking, monitors planogram compliance, predicts losses, and optimizes staff workflows, allowing stores to run more efficiently without adding friction for shoppers. At the same time, AI enhances the shopper experience by responding to customers in real-time, guiding them through the store, and offering recommendations or support based on their preferences and behaviors as they browse. By streamlining store management, AI creates a more tailored and meaningful experience for both retailers and consumers.

AI-Driven Personalization
AI-driven personalization is transforming the in-store experience by allowing retailers to respond to shoppers in real-time, rather than relying solely on what they buy at checkout. Shoppers can now receive personalized recommendations, view promotions and relevant ads, and get guidance based on their preferences, location within the store, and behavior as they walk the aisles and browse products. A2Z Cust2Mate enables this shift by turning the shopping cart into an AI-powered companion that delivers personalized offers, suggests products or meal bundles, guides shoppers to items, and even helps manage virtual queues at deli or prepared-food counters. By connecting shopper behavior directly to store operations, Cust2Mate makes the in-store journey more engaging and tailored to each individual.

The Impact of Retail Media
Retail media is redefining in-store advertising by providing a dynamic platform for personalized promotions and product recommendations. Historically, in-store promotions were static, consisting of signage, endcaps, and displays that offered limited ability to target or measure their impact. With smart carts, this is changing, and the cart becomes a dynamic platform that delivers personalized promotions, product recommendations, and real-time offers directly to shoppers based on their preferences, location, and real-time and past behavior. This not only influences purchasing decisions in the moment but also connects marketing spend to measurable results, helping brands and retailers understand the drivers of engagement and conversion.

New Revenue Streams and Business Models
Smart carts and other in-store technologies are opening up new revenue streams and business models for brick-and-mortar retailers. By capturing insights on shopper behavior in real-time, retailers can drive incremental sales and open the door to selling in-store smart cart media inventories to advertisers. The platform also enables more efficient store operations, including dynamic queue management and staff allocation, resulting in operational savings. By combining these capabilities, retailers can explore subscription-based models, service offerings, or partnerships with brands that leverage the cart as a platform, shifting the store from a purely transactional space to a connected, revenue-generating ecosystem.

Connecting Digital Insights with Real-World Shopper Behavior
Emerging in-store technologies are connecting digital insights with real-world shopper behavior, enabling retailers to optimize staff workflows and inventory. These technologies capture actions in real-time as customers move through the store, tracking what shoppers pick up, consider, or put back, and providing actionable data that goes beyond traditional purchase history. This allows retailers and other third parties to deliver personalized guidance, relevant recommendations, services, and dynamic assistance, while also optimizing staff workflows and inventory. By linking these digital insights to physical behavior, retailers and others can respond instantly to shoppers’ needs, improve operational efficiency, and create a more seamless and engaging shopping experience.

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