Case Study IV.
Title: IoT and Machine Learning cloud native solution
For a start-up customer, we designed and developed an event-driven cloud solution which processed data generated by up to 20 million IoT devices. This data was used to train a machine learning model, in order to pinpoint scheduling deviations and predict associated order fulfilment deviations. On top of this, the solution automatically rated vendors based on past performance and behavioral monitoring.Read Now