How do I calculate inventory turnover with iDBQuery?
Ask iDBQuery 'What is our inventory turnover ratio by product category this year?' It divides cost of goods sold by average inventory across your sales and stock tables, returns turnover and days-on-hand as a chart, and cites each figure back to its source rows.
Inventory turnover measures how many times you sell and replace stock over a period; its inverse, days-on-hand, shows how long inventory sits. Both reveal where cash is tied up in slow-moving goods. iDBQuery computes them from your own data without manual spreadsheet work.
- You'd ask iDBQuery: 'Calculate inventory turnover and days-on-hand by category this year, using cost of goods sold divided by average inventory value.'
- It joins your sales/COGS data to inventory balances, computes the ratios per category, and returns a ranked chart plus a table.
- Each figure is cited to its source rows, so 'this category turns 3.1x a year' is auditable against the underlying stock and sales records.
Turnover is a starting point for action. Ask 'Which SKUs turn slowest and how much capital is locked in them?' and iDBQuery keeps the context, ranking the worst offenders. Because COGS may live in finance and stock levels in a warehouse system, the one live model joins them into a single answer with no ETL. This is more specific than a general inventory report: it isolates the efficiency ratio and where it lags. Save it as a live report for the operations review, and let the Analyst agent flag categories whose turnover is deteriorating quarter over quarter, with the rows behind the trend.
Updated 2026-06-22