How Industrial OEM Cut BOQ Prep Time by 70-80% with AI-Powered Automation
See how an industrial OEM used AI-powered BOQ automation to cut preparation time by 70-80% and achieve same-day draft BOQ turnaround.
Spares and OEM parts orders for boilers, chillers, and coolers took engineers days of manual cross-referencing between ERP records and engineering drawings. ConforgeLabs built an AI-powered BOQ automation pipeline that identifies sections, extracts materials, and auto-calculates quantities, cutting BOQ prep time by 70-80% and turning a multi-day task into a same-day turnaround.
Days Lost Cross-Referencing ERP Records Against Drawings
Every spares and OEM parts order for a boiler, chiller, or cooler started the same way: an engineer pulling ERP records in one window and engineering drawings in another, manually matching sections, materials, and quantities line by line. For equipment with dozens of tubes, pipes, forgings, supports, and headers, that cross-referencing alone could take days before a Bill of Quantities was even ready to draft. The manual process was also where errors crept in. A missed header or a miscounted support meant a BOQ that had to be corrected after procurement had already started acting on it, pushing delays further downstream. Engineers were spending their time on repetitive extraction and arithmetic instead of reviewing the handful of items that actually needed judgment. None of it scaled. Every new order meant starting the cross-referencing from zero, regardless of how similar the equipment was to one already processed, and the backlog grew fastest exactly when procurement needed BOQs fastest.
“The biggest difference is the time we get back. What previously involved hours of checking drawings, materials, and quantities can now be prepared within the same day, with significantly fewer calculation errors.”
