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UPSHELF.AIManage supplier listing
Upshelf — Location-granular e-commerce shelf intelligence: daily monitoring of ~350,000 SKUs across 22,000+ retail sites, resolving availability (in-stock/out-of-stock), price, price deviation and MAP violation, promotional activity, product content quality (images and descriptions), ratings/reviews/mentions, and search or Buy Box ranking - all resolved down to postal-code level within major CPG categories, with historical trend series retained.. Small team, outsized automated coverage: ~3 staff in Barcelona monitoring ~350,000 SKUs across 22,000+ retail sites at postal-code granularity, dail…
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Location-granular e-commerce shelf intelligence: daily monitoring of ~350,000 SKUs across 22,000+ retail sites, resolving availability (in-stock/out-of-stock), price, price deviation and MAP violation, promotional activity, product content quality (images and descriptions), ratings/reviews/mentions, and search or Buy Box ranking - all resolved down to postal-code level within major CPG categories, with historical trend series retained.
Scale ~350From 5 yearsCoverage Consumer Discretionary
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Upshelf — Location-granular e-commerce shelf intelligence: daily monitoring of ~350,000 SKUs across 22,000+ retail sites, resolving availability (in-stock/out-of-stock), price, price deviation and MAP violation, promotional activity, product content quality (images and descriptions), ratings/reviews/mentions, and search or Buy Box ranking - all resolved down to postal-code level within major CPG categories, with historical trend series retained.. Small team, outsized automated coverage: ~3 staff in Barcelona monitoring ~350,000 SKUs across 22,000+ retail sites at postal-code granularity, dail…
Upshelf offers (Price, Alternative, Sentiment) — ~350,000 SKUs across 22,000+ retail sites at postal-code resolution with daily refresh. At even a conservative 10 site-locations tracked per SKU, that is roughly 3.5M observations per refresh cycle, or on the order of a billion SKU-location-day rows annually once history accumulates..
Distribution and coverage gap analysis by geography, out-of-stock and lost-sales estimation, MAP and pricing-discipline enforcement, competitor price-elasticity tracking, Buy Box and search-share attribution, product-content quality model training, and demand nowcasting from postal-code-level stockout time series.
The data is with 5 years of history.
Coverage spans US, Europe, Other; Internet & Direct Marketing Retail; price, alternative, sentiment; equities.
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