How is iDBQuery used by grocery stores and supermarkets?

Grocery runs on thin margins and perishable stock, with data across POS, inventory, supplier and loyalty systems. iDBQuery unifies them into one live model so category managers and operations ask plain-language questions and get a cited answer.

Examples:

• What is sales and gross margin by category and store?
• Show shrinkage and waste by department, and where it is worst.
• Which SKUs are frequently out of stock at shelf?
• What is basket size and item affinity (what sells together)?
• How do promotions lift sales and cannibalise other items?

iDBQuery joins POS exports, inventory databases and supplier spreadsheets together with no pipeline, joins them, and cites each figure to source, so category reviews and shrink reports are trustworthy across every store. It builds dashboards for weekly trading meetings, and the Analyst agent can investigate a margin or waste problem in a category on its own.

Deployment is flexible: cloud, your own VPC, or the Desktop app with query-in-place to keep sales and supplier data local. The differentiator over generic BI is that a lean grocery team gets instant, store- and category-level answers across every system at once, each number traceable back to the exact transaction, no analyst or pipeline needed.