BidLight 3.0 supports the early stages of fabrication planning and spooling preparation, especially for MEP and structural components modeled in Revit, by streamlining the transition from BIM design to fabrication-ready packages. Here's how BidLight contributes to spooling and fabrication detailing: Automated Element Classification: BidLight uses AI to identify and classify Revit model elements (e.g., pipes, ducts, steel members) into standardized assemblies. This lays the foundation for creating spools by grouping components based on system type, material, or construction sequence. Accurate Quantity Takeoffs (QTO): It generates precise QTOs per system or area, including fittings, joints, hangers, and linear elements—data that's essential for creating Bill of Materials (BOMs) for each spool. Model Segmentation Insights: While BidLight doesn’t generate spool drawings directly, it helps estimators and planners segment systems into logical prefab units by filtering elements by location, system, or construction phase. This supports pre-spooling decisions and coordination. Integration-Ready Data Exports: All data—quantities, classifications, costs, and assembly structure—can be exported to Excel or downstream fabrication software. This makes it easy to pass accurate, formatted data to detailers or VDC teams for spool sheet generation. Cost + Fabrication Logic Together: By combining cost estimation with crew and equipment logic, BidLight helps contractors plan fabrication strategies tied to productivity, e.g., deciding which systems to prefabricate based on cost efficiency and labor availability. What BidLight Doesn’t Do (Yet): It doesn’t generate spool sheets or 2D fabrication drawings automatically (that’s typically handled by tools like Revit Fabrication Parts, Trimble SysQue, or Autodesk Fabrication CADmep). It doesn't manage spool tracking or barcoding for logistics—but it prepares the cost and quantity data to feed into those systems. In summary: BidLight accelerates pre-fabrication planning by organizing and quantifying model elements into clean, structured data that can be used to drive spool creation. It reduces the prep time for spooling and ensures fabrication-ready accuracy from day one, even if the detailed spool sheets are produced downstream.