For manufacturing leaders in automotive, CPG, and food and beverage, the path to smarter cost decisions starts with better data — but getting there is harder than it sounds. Legacy drawings, unstructured documentation, and siloed systems create a hidden barrier that slows down engineering, purchasing, and product development teams before they ever reach meaningful analysis.
In this webinar, CADDi and Razorleaf explore how AI-powered drawing intelligence bridges the gap between unstructured manufacturing data and enterprise PLM environments like Aras. We'll walk through the full data journey: from ingesting and structuring legacy documentation in CADDi, to managing it within a governed PLM system, to passing it back into CADDi for cost benchmarking and project-level analysis — all powered by AI.
Whether your team is tackling should costing, part standardization, BOM extraction, or design review, the ability to surface and act on drawing intelligence across the product lifecycle is a competitive advantage. Attendees will come away with a clearer picture of how bi-directional data integration between CADDi and Aras enables workflows that reduce costs and improve engineering efficiency — and why getting data in is the conversation the industry needs to be having right now.