A harmonised beverage-alcohol data spine rather than a single dataset

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.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareDistillers & Vintners
Instruments: equities
Categories: Alternative

Dataset card

Type: not stated
Format: Tabular — modelled relational intelligence modules over ingested structured feeds (EDI/API/portal exports from distributor, syndicated, regulatory and ERP/TPM systems), surfaced as plain-language role-based answers rather than dashboards
Volume: 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.
Users: ~13-14 employees (14 on the LinkedIn company page, up roughly 367% year over year); client base is described as pilot customers and early suppliers, so order of tens of business accounts rather than thousands. Bounded from a 2024 founding, a current free-two-weeks-unlimited-access promotion and a hands-on demo motion — not from any disclosed account count.
History: 2 years
Update frequency: not stated
Growth: Active and expanding — roughly 367% year-over-year headcount growth to about 14 people across a distributed US-India team, first public demos at BevNET and Brewbound, a sponsored BevNET Live NYC 2026 workshop with three named executives speaking, and an open pilot-customer phase running into 2026.
Launched: 2024 for BevGenie AI as a company (Princeton, NJ), with the public product launch and first demos landing in late 2025 and a self-described journey from idea in early 2025 to public demo the same year. It inherits roughly six-plus years of beverage-alcohol data-pipeline work from Twenty20 Systems, the integration firm the founder started earlier.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site