How do I forecast demand for products with iDBQuery?

Demand forecasting predicts how much of each product you will sell, so you can plan purchasing and production without overstocking or running out. iDBQuery produces per-SKU forecasts directly from your sales history.

• You'd ask iDBQuery: 'For the top 50 SKUs, forecast next month's unit demand from the last 24 months of sales, including seasonal peaks.'
• It models the trend and seasonality per product, projects the coming period, and returns a chart and table with an expected range.
• The projection is anchored to cited source rows for the historical actuals, so planners can verify what each forecast is built on.

Demand forecasting is most useful next to stock, so you can chain it: 'Now compare forecast demand to current on-hand inventory and flag likely stockouts.' iDBQuery keeps the thread and joins sales to an inventory source in the same one live model, no pipeline required. Because it shows its SQL, a planner can exclude a one-off bulk order or a discontinued line. Save it as a recurring report for the purchasing team, and let the Analyst agent surface which fast-moving SKUs are most at risk of running short before the next reorder, with the rows to justify each call.