Case Study: a leading international elevator manufacturing company improves passenger experience with Persistent Systems' machine learning model

A leading international elevator manufacturing company improves passenger experience and reduces power consumption

The customer, a leading international elevator manufacturing company, sought to improve passenger experience and reduce power consumption for its elevator systems. They partnered with vendor Persistent Systems to leverage Google Cloud's machine learning components, specifically TensorFlow on Google Cloud AI Platform and BigQuery, to address these challenges.

Persistent Systems designed and delivered a Machine Learning Minimum Viable Model (MVM). This solution analyzes usage patterns to intelligently park idle elevators, which reduced passenger wait times. It also identified optimal times to put elevators into standby mode, leading to significant gains in power efficiency for the client.