Case Study: Vitesco Technologies Italy achieves 24-hour predictive maintenance with Zerynth Industrial IoT

Vitesco Technologies Italy predicts valve malfunctions 24 hours ahead with Zerynth

Vitesco Technologies Italy, a manufacturer of automotive components, faced a challenge with machine downtime and inaccurate scrap detection on their fuel injector assembly lines. The company sought to reduce false negatives and manual diagnostics, leading them to partner with the vendor Zerynth for an Industrial IoT and AI solution.

Zerynth implemented its solution using 4ZeroBox edge devices and a predictive AI algorithm to monitor the machinery. This allowed Vitesco Technologies to predict pneumatic valve malfunctions 24 hours in advance, drastically reducing downtime and false scrap. The results included 100% remote monitoring capability and a 50% reduction in manual operations, leading to significant cost savings and increased operational efficiency for the customer.

Vitesco Technologies Italy