Store Operations

From the back door to the shelf edge. One connected store operation.

Receiving, pricing, inventory management, and shelf monitoring on a single platform, with AI that finds every gap and surfaces the ones worth fixing first.

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Your store teams juggle receiving, pricing, inventory counts, and shelf checks across disconnected systems. Every handoff is a place where products stall, prices lag, and gaps go undetected. CINDE Connected Retail solves that.

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1. Receive

Products arrive. Goods-in processing confirms quantities, flags discrepancies, and updates inventory in real time. Mobile-first for store teams.

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2. Price

Labels and pricing reflect the current promotional calendar and competitive position. Pricing updates propagate automatically.

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3. Track

Perpetual inventory management maintains a continuous view of what is in the store, in the back room, and on the shelf. Fresh production planning manages short-shelf-life items by day.

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4. See

Computer vision captures shelf reality across every aisle. AI detects out-of-stocks, phantom inventory, planogram deviations, and misplaced items without manual audits.

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5. Act

Every issue is scored by revenue at risk. Prioritized task lists surface on mobile for store teams, starting with the gaps that cost the most.

Receiving, pricing, inventory, and shelf monitoring connected on one platform — with AI that finds every gap and tells your team where to start.

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One system from receiving to shelf

Receiving, pricing, perpetual inventory, production, and shelf monitoring connected on a single platform. Store teams work in one system instead of switching between three or four.

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Shelf visibility that catches what people miss

Computer vision finds 50-200% more gaps than manual audits (IHL 2025). Phantom inventory, where the system says “in stock” but the shelf is empty, accounts for up to 15% of out-of-stocks at some retailers.

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Mobile operations for the shop floor

Store associates manage receiving, pricing, stock checks, and task execution on mobile devices. Offline capability means the system works even when connectivity drops.

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+6 points on-shelf availability

Average across Store Intelligence deployments — +3.9 points in Europe, +8.5 points in the U.S.

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+18.9 points shelf compliance

Average across deployments — +15.9 points in Europe, +22.0 points in the U.S

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30–100% less time spent scanning shelves

Across Store Intelligence deployments, freeing store labor for customer-facing tasks

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6% fewer shortages, 1.5% better inventory at Mercator Slovenia

Across 370+ supermarkets and 27 hypermarkets after deploying the integrated store and supply chain suite

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2–5% sales increase

Across Store Intelligence deployments

How does AI improve in-store shelf monitoring?

Computer vision captures shelf conditions across every aisle and compares them to the planned planogram. AI scores every gap by revenue at risk and surfaces prioritized task lists on mobile devices. Store teams see the highest-value problems first.

What is phantom inventory and how does computer vision detect it?

Phantom inventory means the system says “in stock” but the shelf is empty. Because the system believes stock is available, replenishment never triggers. Computer vision sees the actual shelf, compares it to system records, and flags the mismatch. One retailer found 15% of out-of-stocks were phantom.

Can store operations AI work without fixed cameras or store WiFi?

Yes. 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.

How do AI store operations connect to supply chain planning?

Store-level data (sales, inventory, shelf conditions) feeds into the demand planning layer, improving forecast accuracy and replenishment decisions. What is happening in the store informs what is ordered from the warehouse.

See what your stores are missing today.

See how it works
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