PRICEFINDbuyer room · privateManage buyer room
Crowdsourced in-store grocery shelf-price observations, each anchored to a shopper-submitted photo of a shelf-edge price tag. Per observation the app digitally captures the barcode (UPC or store SKU), GPS-stamps the specific store, and uses a vision model to read product name, price, quantity, unit and any sale/promotion detail off the tag. Every record is time-stamped and carries image-quality scores (sharpness, skew, a live 'focus score' at capture) and validation results (UPC checksum, price-per-unit arithmetic). Supporting layers: a store registry with entrance photographs and coordinates, contributor earning rates and trust tiers, a per-item star rating, an error-report queue, recipe-to-item ingredient matching, and publication freshness gates (shown as a current price plus Offer structured data within 14 days, retained with an 'observed N days ago' note at 15-30 days, suppressed beyond 30 days). Explicitly NOT retailer-site scraping — the data is first-party physical-shelf capture.
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