For years, retail has pursued advanced analytics, personalization, and media investments while one fundamental question remained unanswered: was the product
Kobi Gershoni
August 23, 2025
Why Real-Time Shelf Intelligence Is Retail’s Next Competitive Battleground
The Shelf: Retail’s Most Dangerous Blind Spot
Retailers have invested heavily in e-commerce, retail media, and loyalty platforms. Yet the most significant losses often occur before a shopper even reaches the checkout. An empty shelf still drives them to abandon the trip or switch to a competitor.
Research shows global out-of-stock rates averaging between 8 and 12 percent, with certain categories performing even worse. In fast-moving consumer goods, one large-scale study found an average out-of-stock rate of 8.3 percent, costing retailers billions in annual sales. In France, a 4.4 percent out-of-stock rate translated into more than €850 million in missed revenue. In the UK, 4 percent of empty shelves meant £1 billion in lost sales.
In the U.S., the numbers are equally concerning. McKinsey has estimated that grocery retailers alone lose more than $60 billion annually to stockouts, while FMI reports that nearly one in ten items is unavailable on a typical shopping trip. These aren’t just momentary inconveniences—they directly undermine loyalty and erode long-term customer value.
The consumer impact is equally severe. NielsenIQ has reported that nearly half of shoppers encountering an out-of-stock item will switch to a competitor, while loyalty deteriorates quickly after two such experiences. The cost is not just the missed sale in the moment, but the lifetime value of a shopper who may not return.
Why Dashboards Aren’t Enough
The industry has built countless dashboards to monitor performance, yet execution in the field often remains slow. Traditional approaches rely on manual audits or point-of-sale data that only becomes available after delays. By the time the insight surfaces, the opportunity to act has already passed.
This time lag is retail’s Achilles’ heel. Knowing there was a problem yesterday does not solve today’s shopper disappointment. Deloitte’s 2024 retail outlook found that 70 percent of U.S. retailers view outdated technology and delayed data as their single biggest barrier to in-store innovation. In other words, visibility without speed is no longer enough.
The Role of Edge AI and Augmented Reality
The rise of edge AI has created a new model for retail execution. Instead of sending images or scans to the cloud for processing, intelligent algorithms now run directly on mobile devices. This shift removes the dependency on high-bandwidth connections and reduces latency to near zero.
When combined with computer vision, edge-based systems can recognize SKUs with remarkable accuracy, even in complex, high-density categories. They can identify stock gaps, misplaced facings, pricing errors, or compliance issues in seconds. Because the analysis happens on the device, the user receives feedback instantly while still in the aisle.
Augmented reality extends this capability by guiding store associates or gig workers directly to the problem areas. Rather than a static list of exceptions, they see visual overlays that point to missing items, incorrect prices, or planogram deviations. The correction can happen on the spot, shrinking audit and replenishment cycles from hours to minutes.
This combination of edge computing, computer vision, and AR turns shelf intelligence into more than a reporting tool. It becomes a real-time execution engine.
Shelf Intelligence as Strategic Advantage
For brands, direct visibility into shelf conditions provides a level of clarity that was once out of reach. They can measure true share of shelf, monitor planogram compliance, and understand exactly how in-store execution supports promotions or category strategies. This information strengthens their position in negotiations with retailers and ensures that marketing investments are not undermined by poor availability.
For retailers, shelf intelligence is about operational efficiency and customer satisfaction. Faster audits mean fewer labor hours spent on manual checks, while real-time correction prevents missed sales. Consistent execution also builds shopper trust, ensuring that the products being promoted online or in circulars are actually available when the shopper arrives.
For both, the greatest advantage is speed. Acting in seconds rather than days transforms store operations from reactive to proactive, and that agility is quickly becoming the difference between winning and losing in a competitive market.
The New Blueprint for Retail Execution
If real-time shelf intelligence is to become the industry standard, several capabilities are essential.
First, solutions must run on standard mobile devices with the ability to process data locally. This ensures fast results, works in stores with poor connectivity, and avoids the cost and complexity of hardware-heavy deployments.
Second, tools must be designed for instant execution. It is not enough to highlight issues in a report. Visual guidance, AR overlays, and simple user experiences empower workers to fix problems immediately.
Third, onboarding has to be fast. If training takes hours, adoption will stall. The most effective systems are designed for use by anyone, from experienced merchandisers to temporary gig workers, with little more than a short video tutorial.
Fourth, shelf intelligence must connect back to broader business systems. Real-time data should feed into supply chain planning, inventory management, and strategic analytics. Visibility alone is valuable, but connecting execution to enterprise decision-making unlocks far greater impact.
Finally, scalability is critical. The system should work across geographies, categories, and store formats without lengthy implementation cycles. Retail is too dynamic to wait months for deployment.
Why This Matters Now
The urgency of this transformation cannot be overstated. Shopper expectations have never been higher, and competition has never been more intense. With the rise of retail media, brands are investing heavily to drive shoppers into stores. NRF reports that U.S. retail media spend surpassed $50 billion in 2024, but analysts warn that much of this investment is wasted if promoted products are missing when shoppers arrive.
The growth of omnichannel further amplifies the stakes. A product listed as available online must actually be on the shelf for pickup or delivery. Every disconnect erodes trust not just in the store, but in the retailer’s entire value proposition.
In this environment, real-time shelf intelligence is no longer a nice-to-have. It is the foundation of a high-performing retail operation. Those who embrace it will protect loyalty, maximize the return on media investments, and run more efficient stores. Those who do not will continue to lose margin, market share, and shopper trust.
Closing Thoughts
I have spent my career focused on turning unstructured, complex data into actionable intelligence. Whether in military intelligence, analytics platforms, or retail execution, the lesson has always been the same: information without action is wasted potential.
The retail industry is at a turning point. We can continue to rely on delayed reporting and manual processes, or we can adopt systems that empower action in the moment. The shelf is where the shopper makes the decision, and it is where retailers and brands must focus their efforts if they want to compete.
Real-time shelf intelligence is the next competitive battleground. Those who lead the way will not only win trips and sales. They will win the long-term loyalty of the customer, which is the most valuable asset in retail today.
Kobi Gershoni
Kobi Gershoni is a serial entrepreneur and global authority on transforming complex data into actionable intelligence. He currently serves as Vice President of Business Development at Arpalus, where he helps brands and retailers harness real-time AI, computer vision, and augmented reality to improve shelf execution, reduce out-of-stocks, and drive profitable growth.
