Crowdsourced in-store retail audit corpus

FIELD AGENT CANADAbuyer room · privateManage buyer room

Crowdsourced in-store retail audit corpus: high-resolution shelf, endcap and display photographs captured by a network of over 330,000 on-demand shoppers, each geotagged and time-stamped to a specific store, bay and SKU set, paired with structured audit responses — price capture, facing and share-of-shelf counts, planogram compliance verdicts, out-of-stock and phantom-inventory flags, and promotional-display execution. Follow-up verification photos on the same stores create before/after pairs on merchandising fixes. The latent asset is the labeled shelf-image corpus itself: store, date and bay-identified retail imagery with SKU detection and price ground truth, which is far harder to assemble than the report layer sold on top of it.