Our client is a leading medical device manufacturer of laboratory equipment. Their equipment store laboratory samples—which require deep freezing and careful handling to maintain their integrity. The client needed help in consistently predicting the equipment failure to reduce their maintenance and warranty costs.
Cyient developed an IoT box that helped capture and monitor real-time data from the equipment. The team also used advanced analytics techniques to develop a predictive model that helped improve the asset availability by sending advanced notifications to the service technicians.
The Cyient solution is capable of predicting the asset failure up to 10 weeks ahead of the actual event and helped the client considerably improve their asset availability and reduce related costs.
To learn more about our solution, download the case study.