How does iDBQuery help a supply-chain planner?
A supply-chain planner can use iDBQuery to analyse demand, lead times and inventory in plain language across ERP, sales and supplier data, with cited answers in seconds. It joins those sources into one live model, so forecasting and replenishment decisions rest on current, connected numbers rather than stale spreadsheets.
A supply-chain planner balances demand against supply, but the signals live in sales history, the ERP, and supplier data that rarely line up. iDBQuery joins them into one live model and answers in plain language, citing every figure back to its source.
Questions a supply-chain planner asks iDBQuery: - What is demand by SKU for the last 12 months, with seasonality and trend? - Which items have supplier lead times longer than our current stock cover? - Where do we have excess inventory versus where are we short?
Every answer cites the exact rows, so a replenishment or safety-stock decision rests on numbers you can trace. iDBQuery surfaces seasonality, trend and outliers, compares periods, and lets you drill from a demand summary into the underlying orders with a follow-up. Turn planning views into a live dashboard that refreshes automatically, and let the Analyst agent dig into questions like why a category's forecast keeps missing. It works alongside your existing systems without a pipeline, giving planners a connected, current picture of demand and supply so you can plan on facts, not guesswork.
Updated 2026-06-22