Automating Engineering Intelligence for Profitable Product Development

Transforming PLM from a System of Record to a System of Action

As manufacturers face rising product complexity, supply chain volatility, and margin pressure, the gap between design intent and production reality has never been more costly. Engineering teams frequently lack visibility into cost and manufacturability during design, forcing reliance on supplier quotes and late-stage feedback that leads to rework and missed targets.

In this webinar, CIMdata and aPriori explore why PLM systems alone and traditional DFM approaches can’t meet the scale and speed demands of modern product development, along with what it takes to close that gap. We will show how aPriori’s platform evaluates cost, CO2, and manufacturability of your 3D Designs, enabling real-time trade-off decisions that compress decision cycles from weeks to hours.

Real-world examples from CNH and Rivian illustrate how companies are reducing rework, strengthening supplier negotiations with should-cost data, and achieving measurable cost improvements without adding resources. We’ll also discuss how embedding this intelligence into PLM transforms it from a passive data repository, into a true system of action and why that foundation is essential for scaling AI across the product lifecycle.

Are your engineering decisions driving profitability—or reacting to it?

Join us on Wednesday, July 15 at 10 AM EDT / 3 PM BST to find out how to shift the balance. Register today to secure your spot.