TexNest Analytics

The Challenge

In large-scale industrial manufacturing, raw material estimation (nesting) is a critical bottleneck. TexNest was relying on manual engineers to calculate optimal fabric yields for massive production runs. The process took hours per quote, heavily relied on human intuition, and frequently resulted in over-purchasing material to account for a wide margin of error. This material waste was cutting directly into profit margins.

The Solution

Stactualize engineered a computer-vision and AI-augmented estimation engine that automates the nesting process. We trained custom models on historical pattern data to instantly calculate the absolute minimum fabric yield required for any complex geometry.

This algorithm was wrapped in a highly responsive cloud application, allowing sales teams to generate accurate material quotes in real-time while on the phone with clients, without waiting for engineering approval.

The Outcome

The intelligent estimation engine reduced average material waste by 12% across all production runs by eliminating human over-estimation. Quote turnaround time dropped from hours to milliseconds, dramatically improving the sales cycle and win-rate for the manufacturer.