Optimizing and Automating ML Model Training Pipeline for a Leading Auto Glass Service Provider
The proliferation of modern technologies like ADAS (Advanced Driver Assistance System) and ability to customize vehicles makes selection of glass parts for repair and replacement a non-trivial problem. Soothsayer Analytics, in collaboration with the auto glass service provider had set up a platform called VCDX (Vehicle Characteristic Data Extrapolation) which predicted the most likely part to use for a given Vehicle Identification Number (VIN) during repair/replacement services. It had a prediction API that was deployed with a fully serverless architecture. This API was a collection of roughly 4000 models--with one model per make & model combination.