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Retail: semantic catalog search and shelf computer vision

Computer Vision for Warehouse Clubs: Pallet-Level Availability

Computer vision for a warehouse club monitors pallet positions and bulk stacks, not single facings - the gap unit is a pallet and replenishment is by forklift.

Computer Vision for Dark Stores and Quick Commerce: Pick Accuracy

Computer vision in a dark store feeds the picking system, not a store-ops dashboard - slot accuracy, fast replenishment signals, and no customers in frame.

Computer Vision for Electronics Retail: Display Models and Locked Stock

Computer vision for an electronics store watches display-model presence and powered state, peg facings, and locked-case gaps - not open-shelf grocery gaps.

Computer Vision for Hardware and DIY Stores: Bins, Fasteners, Long-Tail SKUs

Computer vision for a hardware store faces bins of near-identical fasteners and long-tail SKUs, so bin-label OCR and conservative confidence do the work.

Computer Vision for Fashion Apparel Stores: Folded Stock and Rail Density

Computer vision for an apparel store detects thin rails, gapped folded tables, and size-run holes - not the shelf gaps grocery vision is built to find.

Computer Vision for Pharmacy Shelves: Compliance and Restricted Products

Computer vision for pharmacy retail can monitor open-shelf availability and planogram compliance, but restricted and behind-counter stock needs other checks.

Shelf-Monitoring Computer Vision for Convenience Stores

Computer vision for a convenience store has to earn trust from a stretched, tiny team, with cheap edge hardware and camera placement in a cramped format.

Multilingual Product Search for a Pan-European Retailer

Multilingual product search needs a multilingual embedding model, per-language relevance tuning, and locale-correct results - not query translation bolted on.

Search for a Headless Commerce Stack: API-First Retrieval

In a headless commerce stack, search is an API the frontends call - a stable contract, edge-cached common queries, and presentation left to the client.

Personalized Search: Where Per-Shopper Ranking Starts and Stops

Personalized search splits into cheap session-context ranking and real per-shopper models - a separate feature-store system with cold-start and privacy costs.