CASE STUDY

A Global Automotive Manufacturer Harnesses the Power of AI to Optimize Production Flow

Accurate Bottleneck Detection for Automotive Manufacturer using AI

With unpredictable downtime and vehicle recalls posing a massive threat to automotive manufacturers, the emphasis on optimizing the manufacturing process is at an all-time high. What if real-time manufacturing process data can be leveraged to access instantaneous insights which aid critical decision making? 

ThroughPut, harnessed the power of AI and machine learning through its software ELI, to enable a global automotive parts manufacturer to dynamically optimize production flow and reduce variable costs.

The result? Faster and accurate determination of process bottlenecks and improvement areas, with a 500% improvement in the speed of data analysis.

Download the case study to learn more.

Download Now