Nearly six years ago Walmart sent 500 shelf-scanning robots home after concluding that workers picking online orders could see the
Conversations On Retail
July 20, 2026
Shoppers don’t remember what your system said. They remember that the shelf was empty. That moment adds up across an entire chain. Industry research puts a number on it: the global cost of inventory distortion, which includes both out-of-stocks and overstocks, reached an estimated $1.7 trillion in 2024, according to IHL Group. Out-of-stocks alone accounted for about $1.2 trillion of that total.
Inventory accuracy inside stores is often much lower than leaders realize. Store-level inventory accuracy can fall to about 60%, according to research cited by Gartner. Studies from Auburn University’s RFID Lab have shown similar results, finding that traditional systems without item-level tracking often produce inventory records that are wrong more often than right.
That inaccuracy changes how customers behave. Roughly 30% of shoppers will visit another store when they cannot find a desired item, according to NielsenIQ data, and more than 70% will switch brands, based on Adobe research. Even when the product exists somewhere in the store, phantom inventory—items that show as in stock but aren’t on shelves—makes it unsellable. More than half of retailers report that their inventory data is under 80% accurate, leaving these invisible losses to compound quietly.
Retailers are juggling more demand sources than ever. Each store must now serve walk-in shoppers, online orders, curbside pickup, and ship-from-store fulfillment. Every additional channel introduces more room for records to drift out of sync with reality.
Human error also plays a role. Associates may skip cycle counts during busy periods, delay system updates, or misplace product in overstock or on secondary displays. Research from ECR Europe shows that even small breakdowns in process—stocking, ordering, and planning—can cascade into significant availability problems. McKinsey’s studies of grocery operations have shown that even a few points of missed availability can translate into measurable sales losses.
Quarterly or monthly counts can’t fix the issue, because they capture what was true in the past rather than what’s happening now. In an environment where every missed sale and wasted item erodes margin, visibility has to be continuous.
Modern shelf intelligence systems are changing the equation. Using computer vision and machine learning, they can scan sets continuously, detect empty facings or misplaced products, and identify pricing issues in real time. Rather than generating long exception lists, these systems prioritize the issues that matter most—helping associates focus on replenishment that will have an immediate sales impact.
Retailers that have adopted these technologies report measurable gains. One European grocery chain improved on-shelf availability from 90% to more than 95% within six months by integrating real-time shelf analysis. That five-point improvement translated into a two percent increase in sales. Across thousands of SKUs and millions of shoppers, that margin lift can reshape the bottom line.
1. Measure what’s on the shelf, not just in the system.
Use sales-based availability metrics or vision-based checks to flag fast-moving SKUs that suddenly stop selling.
2. Connect alerts to action.
Inventory signals must flow to the people who can act on them. Linking shelf alerts to backroom locations and delivery data ensures faster fixes.
3. Treat promotions as high risk.
Promoted items sell faster and go out of stock more often. Add audits and rapid replenishment to prevent lost volume.
4. Attack phantom inventory at the source.
Review root causes weekly. Mis-scans, unsaleable goods, or display-only units create “ghost” inventory that pollutes future forecasts.
5. Replace infrequent counts with smarter, targeted ones.
Cycle counts informed by exceptions are faster and more accurate than full physical inventories. Where possible, item-level tracking such as RFID continues to show strong results in improving accuracy.
6. Share visibility across the supply chain.
When retailers surface consistent shelf gaps or availability patterns to suppliers, both sides can adjust production and replenishment with more precision.
Accurate inventory and aligned shelves are more than operational metrics—they are signals of trust. Customers rely on stores to have what they need. Suppliers depend on correct data to plan production. Associates need systems that match reality to do their jobs effectively.
When shelves and systems align, everyone wins. Availability improves, waste declines, and shoppers come back because they can depend on what they see. In a retail landscape defined by thin margins and high expectations, that reliability may be the most valuable advantage of all.