Turn weeks of electrical quantity takeoff into hours
Rudolf Fritz GmbH
What they did with AI
German electrical contractor Rudolf Fritz (about 650 employees) uses automated quantity takeoff from PDF plans for bids. In the first five months after its March 2026 rollout, it processed 364 plans across 18 projects, detecting 71,073 elements and measuring 85 km of cable tray. Takeoffs now take hours instead of weeks, and the team says it can price more inquiries instead of passing on projects for lack of capacity.
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Related use cases
Price a £2.5M lighting refurb with automatic symbol recognition
Bojen Electrical
UK contractor Bojen Electrical uploads tender drawings and builds its takeoff with automatic symbol recognition, keeping a permanent, editable count list for each job. The estimator says that working through the drawings this way also gives him a clearer picture of how the job will actually run. He priced a roughly £2.5 million lighting refurbishment of an Oxford research building entirely in the tool, splitting each floor into zones.
Use AI as the first pass on electrical takeoffs
Intermountain Electric
Intermountain Electric's estimators run drawings through AI for first-pass lighting, power and receptacle counts, branch routing, panel and lighting schedules, and drawing stitching, then review and correct it before anything goes into the estimating system. The case study says one high-volume takeoff that used to take several 15-hour days was done in a few hours, and that the AI gets branch measurements about 95% of the way before human QA.
Bid more work without hiring another estimator
WTC Electric
Family-owned WTC Electric in Charlotte, NC faced rising bid volume, driven partly by data-center demand, and couldn't find another estimator. It moved takeoffs to AI device detection and automated branch routing, with the vendor's human concierge team handling peaks and poor-quality drawing sets. Drawer AI reports a 70% reduction in takeoff time on large projects and device detection accuracy above 95%.