How is iDBQuery used by CPG brands?
Consumer packaged goods brands use iDBQuery to ask plain-language questions across retail sell-through, distributor, trade-spend and syndicated data, getting cited answers in seconds without SQL. It builds one live model across spreadsheets, databases and APIs so brand teams track velocity and margin without pipelines.
CPG brands sell through retailers and distributors, so their data arrives as syndicated reports, retailer portals, distributor spreadsheets and trade-spend trackers. iDBQuery unifies them into one live model so brand, sales and finance ask plain-language questions and get a cited answer.
Examples:
- What is sell-through velocity by SKU, retailer and region?
- Show distribution (points of distribution / ACV) and where we have gaps.
- What is trade-spend efficiency and ROI by promotion?
- Which SKUs are margin-dilutive after trade and freight?
- How do shipments compare to consumption, and where is inventory building?
iDBQuery ingests syndicated-data CSVs, retailer exports, distributor spreadsheets and REST-API feeds together with no pipeline, joins them, and cites each figure to source so account reviews and S&OP inputs are trustworthy. The Analyst agent can investigate a velocity drop at one retailer on its own.
Deployment is flexible: cloud, your own VPC, or the Desktop app with query-in-place. The differentiator over generic BI or endless spreadsheets is that a small brand team gets instant answers across every retailer and data source at once, each number traceable back to the exact row, no analyst or pipeline needed.
Updated 2026-06-22