Kroger, one of the largest US grocery chains, is expanding its use of RFID and computer vision data to improve inventory management and providing machine-learning insights to suppliers.
What Kroger is deploying
The company is piloting radio frequency identification at roughly 1,500 store bakeries and combining the item-level data with AI-driven analysis of sales, inventory and sell-through information. Kroger chief store operations officer Mark Ibbotson said RFID gives the retailer a better item signal, while AI layers sales and inventory data on top to support decisions on production, markdowns and freshness across the fresh category.
The pilot's early results showed RFID read performance of 98 percent, inventory-counting speed up nearly 70 percent, shrink down 50 percent, and a plan to extend the technology to more than 2,300 stores by 2029, with the retailer's AI tools already connected to 20 data pipelines down to store level.
RFID in retail is already proven at scale
Kroger's move follows a broader industry pattern. Retailers with item-level RAIN RFID tagging now commonly report inventory accuracy above 95 to 99 percent, cutting out-of-stock events, shrink, and manual cycle counts; deployed-at-scale names include Walmart, Target, Nordstrom, Zara, H&M, Macy's and Levi's.
Market research puts retail and apparel at $7.7 billion in RFID-related revenue in 2025, or 46.05 percent of the global RFID market, with item-level tagging restoring inventory accuracy and feeding the real-time stock data required for buy-online-pick-up-in-store models; mandates from Walmart and other big-box leaders are pushing suppliers to embed tags at the point of manufacture. Kroger's bakery deployment also builds on its earlier collaboration with Avery Dennison, which has been using tags to locate and identify bakery items since October 2024. In February 2026 Avery Dennison launched its AD IdentiFresh inlay series for fresh food categories including bakery, meat, deli and produce, following its food-sector collaborations with Walmart and Kroger.
Computer vision adds a second layer
Alongside RFID, computer-vision shelf monitoring is scaling quickly. Smart-shelf market analysis indicates vision and camera systems are growing at a 24.28 percent CAGR as edge AI compute costs fall, while RFID-based shelves still hold 40.18 percent of the smart-shelf market because they work without line-of-sight and plug into global supply-chain standards. Retailers such as Simbe's Tally shelf-scanning robots already scan aisles multiple times per day, giving associates a live view of shelf conditions and prioritized actions to resolve out-of-stocks and pricing errors. Reports from October indicate Kroger itself has deployed 500 shelf-scanning Tally robots across its retail locations, including stores in Los Angeles. Some market analyses of smart-shelf systems credit AI-driven analytics with measurable gains, citing examples like a 10 percent sales increase and 15 percent waste reduction from optimized shelf stocking.
The RFID market picture adds context. Mordor Intelligence's global RFID forecast shows data-center asset tracking expanding at an 11.56 percent CAGR and moving its RFID market share from 3.15 percent, while retail leadership is being challenged by that growth. The same supplier ecosystem is pushing fresh food further: Avery Dennison is collaborating with Walmart to bring RFID-enabled labels to meat and produce, and with Kroger to automate inventory in the bakery department, while Gap Inc. is deploying RFID across Old Navy stores for real-time inventory visibility and faster omnichannel fulfillment. Grocery freshness use cases are exactly the frontier where Kroger is positioning itself ahead of hardlines.
Why suppliers should pay attention
For manufacturers and suppliers selling into grocery, the significance is that data now flows both ways. Kroger is providing machine-learning insights to suppliers, using aggregated sales, inventory and sell-through data to inform what the retailer plans to stock, mark down, or promote. Suppliers who can align production and promotion plans with that visibility stand to reduce waste and improve fill rates, while those who ignore it risk being out of sync with automated replenishment cycles. RFID guidance aimed at retail operators makes the same point: real-time inventory visibility minimizes stockouts, optimizes shelf space and reduces manual work, while unified inventory views make it easier to keep shelves stocked and cut shrink.
Retailers with item-level visibility are also becoming tougher negotiators on availability. When a retailer can measure on-shelf availability in near real time, service-level claims are no longer based on shipment records but on actual shelf conditions. That is the practical consequence of Kroger's pilot, and it is already spreading through the rest of the industry.
The grocery-specific twist is that RFID is moving from hardlines into fresh food, where expiry management and waste reduction matter more than theft prevention. Kroger has extended RFID from apparel into fresh bakery to automate expiry management, validating use cases beyond hardlines. That expansion is what makes the pilot strategically significant: if item-level RFID plus computer vision can make fresh departments this measurable, the same combination becomes a template for every retailer wrestling with perishables, markdowns, and on-shelf freshness, and for the suppliers who must keep those shelves profitable.
