Large-scale labelled retail shelf imagery and derived execution metrics

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Large-scale labelled retail shelf imagery and derived execution metrics. Merchandisers and field reps photograph shelves with phones/tablets; ~5 million images per month are processed across ~400,000 stores monthly in 18+ countries, and a syndicated audit product pools multi-brand observation across 2,000+ US stores. Each image is machine-parsed against a 250,000+ SKU/UPC reference database into SKU presence, facings, share of shelf, planogram compliance, on-shelf availability, price and promotion state, and display identification; two visits to the same store and category are sufficient to synthesise a full planogram (PSA) file for that bay. The licensable asset is the image corpus with its ground-truth SKU/facing/price labels plus the derived planogram and availability time series

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareFood Distributors
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Images (store shelf photographs and video) with structured label overlays — per-image SKU/facing/price annotations, plus derived tabular execution metrics and planogram files; delivered via dashboard, API connectors to data lakes, and an SFA-embedded SDK
Volume: ~5,000,000 images processed per month across ~400,000 stores monthly in 18+ countries (stated) — on the order of 60 million images per year, each carrying SKU/facing/price labels, atop a 250,000+ SKU/UPC reference database; the US syndicated audit layer covers 2,000+ stores
Users: N/A as a consumer metric — enterprise B2B platform sold to CPG brands and retailers; the account unit is enterprise tenants and field-force seats. 60-70 employees at the vendor; client-side seat counts are not disclosed
History: 9 years
Update frequency: not stated
Growth: Active — 60-70 headcount, an open careers page, continuing product announcements into 2025 (including the photos-to-PSA launch presented at a Category Management Association conference), and accelerator programme participation (Lowe's CONSTRUCT, Intel Plugin, NVIDIA ECS)
Launched: ~2016-2017 (Bengaluru deep-tech start-up; earliest retained team-profile imagery dates to 2018 and cumulative funding is only ~$1.5M across three rounds, indicating a 2016-2017 origin; the current public site was rebuilt in 2022)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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