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BEVGENIE.AIManage supplier listing
BevGenie AI (operating the ConsumerIQ intelligence platform) — A harmonised beverage-alcohol data spine rather than a single dataset: ConsumerIQ ingests and cross-resolves distributor movements and depletions (VIP), retail and on-premise POS scans (NIQ/syndicated plus retailer feeds), state regulatory and control-state reporting, supplier CRM/ERP and trade-promotion (TPM) systems, distributor scorecards, and field-team execution data, then applies AI-driven mastering to resolve naming conflicts across sources and align their mismatched reporting timelines into one consistent model. The scarce…
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A harmonised beverage-alcohol data spine rather than a single dataset: ConsumerIQ ingests and cross-resolves distributor movements and depletions (VIP), retail and on-premise POS scans (NIQ/syndicated plus retailer feeds), state regulatory and control-state reporting, supplier CRM/ERP and trade-promotion (TPM) systems, distributor scorecards, and field-team execution data, then applies AI-driven mastering to resolve naming conflicts across sources and align their mismatched reporting timelines into one consistent model. The scarce asset it builds is the cross-source reconciliation layer — the identity master that maps one brand and SKU across distributor catalogues, syndicated hierarchies, state regulatory filings and retailer files, plus the timeline-alignment that makes depletions, scans and shipments comparable in one period.
Scale Per supplier clientFrom 2 yearsCoverage Information Technology · Consumer Staples
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BevGenie AI (operating the ConsumerIQ intelligence platform) — A harmonised beverage-alcohol data spine rather than a single dataset: ConsumerIQ ingests and cross-resolves distributor movements and depletions (VIP), retail and on-premise POS scans (NIQ/syndicated plus retailer feeds), state regulatory and control-state reporting, supplier CRM/ERP and trade-promotion (TPM) systems, distributor scorecards, and field-team execution data, then applies AI-driven mastering to resolve naming conflicts across sources and align their mismatched reporting timelines into one consistent model. The scarce…
Bevgenie offers (Alternative, Supply Chain, Reference) — Per supplier client, the harmonised model spans brand x SKU x distributor x branch x state x period plus retailer scan and field-execution overlays — typically 10^6-10^8 rows per large supplier per year, and the company's own reference use case is monthly brand volume analysis by state across all 50 states. Ingesting regulatory/control-state reporting plus syndicated scans plus distributor depletions for even a handful of large suppliers puts the harmonised store in the 10^8-10^10 row range, with the identity-master table (product and location cross-mappings) far smaller but far scarcer..
Real-time off-premise and on-premise alcohol depletion measurement without waiting on monthly syndicated cycles; demand forecasting and early market-shift detection at brand-by-state grain; trade-spend and promotion ROI attribution; distribution and whitespace modelling; regulatory and control-state market monitoring; and — as training data — cross-source entity-resolution and record-linkage models plus text-to-SQL/agent evaluation sets where the harmonised model supplies the ground-truth answer to a natural-language commercial question.
The data is with 2 years of history.
Coverage spans US; Application Software, Distillers & Vintners; alternative, supply_chain, reference; equities.
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