Your shelves have gaps you cannot see.
Computer vision finds the out-of-stocks, phantom inventory, and shelf gaps your current process misses, then routes dollar-ranked tasks to the people who can fix them.
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Retailers lose $1.4 billion in sales every week to out-of-stocks.
Retailers lose $1.4 billion in sales every week to out-of-stocks. Products are often in the building, trapped by a system that says "in stock" while the shelf sits empty. Phantom inventory causes up to 80% of those gaps, and replenishment never triggers. CINDE Store Intelligence finds those gaps, scores them by revenue at risk, and routes recovery to your store teams.
Computer vision scans every shelf, every aisle, every store. It detects out-of-stocks, phantom inventory, and misplaced items without relying on manual walks or sample-based audits.
Every gap is ranked by revenue at risk and aligned with active promotions and available inventory. Your teams work the highest-value tasks first.
Visibility alone improves on-shelf availability. One retailer saw +9 points of OSA improvement with no supply chain changes. The product was already in the building. The shelf just needed to know.
Frequently asked questions about fuel and convenience retail
Industry estimates put global OOS losses at $1.4 billion per week. When a shopper encounters an empty shelf, 40% buy the item elsewhere and 10% do not buy it at all. The cost compounds: each missed sale also weakens demand signals used for future forecasting and replenishment.
Phantom inventory means the system says “in stock” but the shelf is empty. Because the system believes stock is available, replenishment never triggers. The gap persists until someone physically notices it. Industry research indicates phantom inventory causes up to 80% of out-of-stocks, and the global cost of inventory distortion is $145 billion (IHL 2025).
Computer vision uses product recognition to scan every shelf position and compare it to the expected planogram. Manual audits sample a fraction of products on a periodic basis. Image recognition identifies 50-200% more gaps than traditional scanning methods because it checks every position, every time, across every store.
No. Multiple image capture options are available: mobile capture using smartphones, ISG camera systems, and third-party robotic platforms. Mobile capture requires no store WiFi or fixed infrastructure.
