ConsumerIQ™ is the unified data and intelligence platform that brings together the beverage industry's fragmented signals and powers BevGenie to answer complex commercial questions instantly.
It simplifies and structures beverage industry data for AI-driven intelligence.
› Is this price promotion performing as intended?
Lift is real in chains but flat in independents — the program is working where it was executed, and it was not executed everywhere.
Depletions tell one story, retail scans tell another, distributor scorecards add a third, and field teams surface issues no system captures at all. Each dataset is accurate inside its own universe. None of them align into a single, shared understanding of what is actually happening in the market.
That is not a data-quality problem. It is a data-structure problem — and it is the reason AI layered straight onto beverage data keeps returning confident answers that are quietly wrong.
Read: why generic AI keeps failing BevAlcThree movements, one foundation. Scroll to follow a signal from raw feed to answered question.
Bring together regulatory data, distributor sales and depletion signals, retail and on-prem POS, and market activity into one unified foundation.
Create a consistent, trusted view of your business with AI-driven mastering. Resolve naming conflicts, align timelines, and organize unified data into curated intelligence modules that power BevGenie.
Turn mastered intelligence into clear, role-based answers. BevGenie interprets unified data in plain language, then produces the artifact the decision needs: a chart, a written report, a slide deck, a buyer-facing sell sheet, or a spreadsheet of the underlying rows.
Once the foundation exists, people stop building reports and start asking questions the way they already think.
Lift measured against a defensible baseline, split by channel and execution — not averaged into a single number that hides the answer.
The distinction that decides whether more spend helps at all — and which team owns the fix this week.
Early signal read at SKU and account level, before the category names the trend.
Ranked opportunity by market, channel, and account — before competitors spot the same opening.
A VP of Sales and a Brand Director ask the same words and should not get the same answer.
Teams stop asking questions shaped by the tool and start asking questions shaped by the decision. Not more analysis. Fewer steps between the insight and the action it should have produced.
ConsumerIQ™ ingests and harmonizes signals from retail, distributor partners, regulatory systems, field teams, and syndicated sources, plus CRM, ERP, and TPM data when you bring it — resolving decades of structural inconsistency into a single, consistent model the business can finally trust.
Customer Content is logically isolated, processed only to deliver the functionality you asked for, and never intentionally used to train public foundation models.
The questions technical and commercial evaluators ask about ConsumerIQ before they bring it to a wider team.
Written for insights teamsNo. ConsumerIQ is the unified data and intelligence platform behind BevGenie, and it is not a data warehouse, an ETL tool, or a reporting tool. A warehouse stores what you put into it. ConsumerIQ resolves entities across distributor, retail, regulatory, and internal sources, aligns their timelines, and builds the mastered foundation that BevGenie reasons over.
Ingest brings regulatory data, distributor sales and depletion signals, retail and on-premise point of sale, and market activity into one foundation. Infer resolves naming conflicts, aligns timelines, and organizes the result into curated intelligence modules. Inform turns that mastered intelligence into plain-language, role-specific answers. The three movements run continuously rather than as a one-off migration.
ConsumerIQ ingests and harmonizes signals from retail, distributor partners, regulatory systems, field teams, and syndicated sources. There are no direct connections to CRM, ERP, or trade promotion management systems today; when you want that data in, we ingest it for you. It is designed to read the systems a beverage business already runs rather than to replace them, which is why there is no data preparation step before a first answer.
Layering a general-purpose model onto fragmented beverage data produces confident answers that are quietly wrong, because the underlying records describe different universes. The problem is structural rather than one of data quality. ConsumerIQ resolves the structure first, and the inference layer adds beverage knowledge, meaning three-tier mechanics and state rules, plus context, meaning your roles and territories.
Yes, and that is the case it was built for. Entity resolution and AI-driven mastering happen inside the platform, so accounts, products, and territories written four different ways across four sources are matched automatically. Asking a customer to clean distributor files first would reproduce the problem the platform exists to solve.
No. A connected database is queried read-only, with a statement timeout and a row cap applied to every query, so BevGenie reads your systems and cannot change them. The credentials for that connection are encrypted with AES-256-GCM before they are stored, and each organization reaches only its own connections. The security page covers the rest of the posture.
An answer in plain language, and the artifact it belongs in. The same question can produce a chart, a written report with those charts embedded, a slide deck exported to PowerPoint or PDF, a buyer-facing sell sheet as a branded PDF, or a typed Excel or CSV export of the underlying rows, with the generated documents in your brand colors. What BevGenie produces covers each output in detail.
See ConsumerIQ™ and BevGenie answer the questions your team asks every Monday — on your categories, your markets, your data.