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FOODGRAPH.COMManage supplier listing
Foodgraph — Cross-retailer US CPG product master catalog of ~2.2M items normalised across 75+ grocery chains (including Walmart, Kroger, Target, Whole Foods): GTIN/GTIN-resolution records, retailer-SKU-to-GTIN crosswalks, enriched attribute sets, product imagery, per-retailer listing and digital-shelf records, plus derived error/conflict flags where chain-level product data disagrees. High-value niche dataset: ~2.2M normalized product records from 75+ chains, held by a 12-person seed-stage Boston team — density of coverage far exceeds team size, which is what makes the catalog defensible. Use…
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Cross-retailer US CPG product master catalog of ~2.2M items normalised across 75+ grocery chains (including Walmart, Kroger, Target, Whole Foods): GTIN/GTIN-resolution records, retailer-SKU-to-GTIN crosswalks, enriched attribute sets, product imagery, per-retailer listing and digital-shelf records, plus derived error/conflict flags where chain-level product data disagrees
Scale ~2From 4 yearsCoverage Consumer Staples · Information Technology
Sample, licence terms, pricing and eval results when Foodgraph publishes them. Until then, discover alternatives today with a 7-day trial.
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Foodgraph — Cross-retailer US CPG product master catalog of ~2.2M items normalised across 75+ grocery chains (including Walmart, Kroger, Target, Whole Foods): GTIN/GTIN-resolution records, retailer-SKU-to-GTIN crosswalks, enriched attribute sets, product imagery, per-retailer listing and digital-shelf records, plus derived error/conflict flags where chain-level product data disagrees. High-value niche dataset: ~2.2M normalized product records from 75+ chains, held by a 12-person seed-stage Boston team — density of coverage far exceeds team size, which is what makes the catalog defensible. Use…
Foodgraph offers (Alternative, Reference, Fundamental) — ~2,200,000 product records spanning 75+ grocery chains (stated on page as 'the size of 75+ grocery chains combined'), each with attribute set, imagery and per-retailer offer rows — so tens of millions of retailer-item observations across the union.
Entity-resolution and record-linkage model training on the cross-retailer identity graph; product-attribute extraction and error-detection models from the conflict/correction labels; vision-language training on product imagery paired with structured attributes; digital-shelf and price/assortment analytics; PDP and consumer-app product enrichment; retail-media audience and category targeting; a GTIN spine for joining any POS or panel dataset to clean product metadata
The data is with 4 years of history.
Coverage spans US; Food Retail, Application Software; alternative, reference, fundamental; equities.
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