shelfpix scores how your shelves present to a shopper — detect items, rate visual appeal, track trends over time. A shelf-audit tool for retail operations + merchandising teams.
From shelf photo to appeal score in three steps
End-cap, promo lane, aisle midline — one shot covers every item in frame. No item-by-item photos, no barcode scans, no manual tagging.
shelfpix reads brands, sizes, and price tags, assesses stock level per item, and rates the shelf's consumer appeal on a 1–10 scale with reasoning.
Every shelf becomes a searchable record. Group into collections by store, aisle, or promotion; trend appeal scores week-over-week; catch regressions before they hit revenue.
Powerful features designed for retail operations + merchandising teams
Advanced AI identifies every product on a shelf — brand, size, packaging, visible price tag — in a single photo.
Detects per-item stock state — empty, low, normal, overstocked — with reasoning drawn from facing counts, gaps, and shelf depth.
Every shelf gets a 1–10 appeal rating plus narrative reasoning — lighting, tidiness, label visibility, stock presentation — from the shopper's perspective.
Group shelves into collections by store, aisle, date, or promotion. Tag, sort, and search across any timeframe.
Every product on the shelf detected in one frame — bounding boxes, confidence scores, ready to drill into per-item detail.
Track appeal scores over time across stores and aisles. Catch presentation regressions before they cost revenue.
Pilot a single store, scale across a chain, or custom-fit an enterprise rollout.
Single-store trial or new-team proof of concept
Multi-store chain or recurring-audit cadence
Large chains, franchise networks, multi-brand retail groups
Retail operations + merchandising teams use shelfpix to catch shelf-condition regressions before they cost revenue.