Tenant-level merchandising decision corpus

Name: Tenant-level merchandising decision corpus: per-SKU demand and stock forecasts, stockout and dead-stock predictions, assortment-whitespace and SKU-mismatch detections, price-position and margin guardrail events, promo break-even calculations, markdown-ladder recommendations, and ad-budget keep/switch/kill verdicts — each recorded as an AI recommendation paired with the human approve/reject outcome from the platform's approval gate, across D2C, marketplace and retail channels.
Creator: Q1k

Q1KManage supplier listing

Tenant-level merchandising decision corpus: per-SKU demand and stock forecasts, stockout and dead-stock predictions, assortment-whitespace and SKU-mismatch detections, price-position and margin guardrail events, promo break-even calculations, markdown-ladder recommendations, and ad-budget keep/switch/kill verdicts — each recorded as an AI recommendation paired with the human approve/reject outcome from the platform's approval gate, across D2C, marketplace and retail channels.

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Sample

Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareGeneral Merchandise Stores
Instruments: equities
Categories: AlternativeFundamentalSentiment
Regions: USAPAC
Sample tickers: WMTCOSTKHCCLPGNSRGYRELY

Dataset card

Type: not stated
Format: Tabular / structured — catalog, inventory, order, price and channel records plus recommendation and approval event logs
Volume: Est. 10K-1M recommendation-and-decision events to date (illustrative tenant on the page shows ~3,900 orders and thousands of SKUs per week with agents watching every SKU, so volume scales with tenant count, which is small)
Users: Very early — likely under 20 tenant accounts (inferred from a 2-person company and 2026 founding; the site offers request-access rather than self-serve signup, so no public user base exists)
History: 1 years
Update frequency: not stated
Growth: Active, pre-scale — founded 2026 with a 2-person team, an active blog cadence on merchandising topics, and public open-source activity; US office listed alongside Bengaluru
Launched: 2026 (company LinkedIn lists founded 2026; operating entity incorporated September 2025, and public code and blog activity begin in 2026)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site

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