AI won’t fix a parts problem it can’t understand.
Deloitte’s recent piece on the “agentic supply chain” is worth reading. The next wave isn’t just better dashboards. It’s AI that can reason across supply chain workflows, evaluate alternative sourcing scenarios, and respond faster to disruption.
But none of that works if your systems still rely on part numbers, PDFs, and manual handoffs to answer basic questions like:
- Do we already have this part?
- Is there an equivalent we can use?
- Who can supply it now?
That’s where Physna helps.
Physna enables teams to search, analyze, and action 3D models and parts. That means comparing geometry, surfacing duplicate parts, and connecting parts to suppliers, inventory, and alternatives, so engineering and procurement can move faster with better information.
In a year defined by supply chain volatility, that’s not a nice-to-have. It’s a competitive advantage.
The manufacturers that win with AI won’t just add more tools. They’ll make their physical product data usable at machine speed.
Worth reading:
https://lnkd.in/gw_p7naD
What’s creating the most friction in your organization right now: duplicate parts, alternate sourcing, or engineering/procurement handoffs?
#Manufacturing #SupplyChain #AI #Engineering #Procurement
Resilient by design: The agentic supply chain
Resilient by design: The agentic supply chain