How do I analyse inventory and stock levels with iDBQuery?
Ask iDBQuery 'Which SKUs are below reorder point, and what's my weeks-of-cover by warehouse?' and it queries your inventory and sales data live, calculates stock cover and reorder flags, and returns a cited table you can sort, chart, or turn into a live dashboard.
Inventory analysis answers questions about what you hold, where, and whether it is moving. With iDBQuery you ask instead of building spreadsheets: - Connect your inventory, sales and purchasing sources, whether a database, an ERP export, or CSVs. - Ask 'Which SKUs are below reorder point, and what's my weeks-of-cover by warehouse?' - iDBQuery writes the SQL, computes stock cover from recent sales velocity, flags reorder items, and returns a cited, sortable table.
A worked example: an operations lead asks 'Show slow-moving stock, items with more than 90 days of cover, and the cash tied up in them.' iDBQuery joins on-hand quantities to cost and sales rate, ranks the offenders, and lets you drill to the exact rows.
The differentiator is speed and provenance. You get reorder and dead-stock answers in seconds without a BI project, and every figure is cited to source rows, so a purchasing decision rests on numbers you can verify. Because iDBQuery blends sources into one live model, inventory can be joined to sales and supplier data in a single question, for example cross-referencing stock cover with open purchase orders. Save it as a live dashboard and the warehouse team sees current stock health every morning, refreshed straight from the source.
Updated 2026-06-22