Retail sell-through and on-shelf availability panel for consumer goods

ALLOY.AIA5 · direct accessManage supplier listing

Retail sell-through and on-shelf availability panel for consumer goods. Alloy ingests granular point-of-sale and inventory feeds from 450+ retailers, e-commerce sites, distributors and 3PLs and normalizes them into SKU-by-location-by-day records, then derives in-stock status, lost-sales valuation, phantom inventory (system on-hand versus on-shelf reality) and promotion lift. The latent asset is a cross-retailer, store-level unit-movement and availability panel covering the same SKU across competing chains - close to a census of physical retail demand below the level syndicated measured data reports.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareFood Retail
Instruments: equities
Categories: Alternative

Dataset card

Type: not stated
Format: Tabular - normalized POS and inventory records at store x SKU x day or finer granularity: units sold, on-hand, in-stock flag, price, promotion marker; delivered through a data platform with dashboards, workflow APIs and AI-agent interfaces
Volume: Very large: 450+ retailer, e-commerce, distributor and 3PL feeds at store x SKU x day granularity. A single national grocery chain is on the order of 2,000 stores x 20,000 branded SKUs, so even a partial network implies billions of sell-through observations per year. The distinctive quantity is breadth of the same SKU observed across competing retailers, which measured panels only approximate.
Users: N/A - B2B platform for consumer-goods brand teams with no consumer registration. Institutional customers number plausibly in the hundreds of brands, inferred from 72 employees, a Series A and a 450+ retail and data partner integration catalog that brands connect through.
History: 10 years
Update frequency: not stated
Growth: Active - Series A company with 72 employees in San Francisco, currently shipping an AI-agent product line (replenishment agent, performance-reporting agent, AI analyst) and maintaining a catalog of 450+ partner integrations, which indicates ongoing data-network expansion rather than maintenance mode.
Launched: ~2015-2016 - site assets carry 2020-era branding uploads and the company record dates to a mid-2010s organization; combined with a Series A and 72 employees this places founding in the mid-2010s rather than the recent AI-agent wave.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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