How is iDBQuery used in manufacturing and supply chain?
In manufacturing and supply chain, iDBQuery lets teams query ERP, inventory, production, and supplier data in plain language and get cited answers in seconds. It unifies systems and spreadsheets into one live model, surfacing yield, inventory, and supplier issues without SQL — every metric traceable to its source.
Manufacturing and supply-chain data spans an ERP, inventory and warehouse systems, production logs, supplier records, and the spreadsheets planners live in. iDBQuery federates them into one live queryable model so you can ask about the whole operation in plain language instead of waiting on a report.
What teams use it for:
- Production and yield — output, scrap, downtime, and quality metrics on demand across lines and sites.
- Inventory and demand — stock positions, turns, and shortfalls, joined across locations.
- Supplier performance — on-time delivery, lead times, and cost trends by vendor.
- Anomaly investigation — the Analyst agent runs down a yield drop or a cost spike and cites what it found.
Every answer is cited to its exact source rows, so a metric that drives a planning or supplier decision can be verified, not taken on faith. The semantic layer maps cryptic part numbers, status codes, and location IDs to language your team uses — a big help with the obscure schemas common in these systems.
There is no warehouse to build and no pipeline to maintain; iDBQuery queries your systems in place. It deploys in the cloud, your VPC, or air-gapped for plants and facilities where data must stay inside the perimeter.
Updated 2026-06-22