Real cases of Machine Learning at a Big Scale

Is nothing strange that the technological industry is looking to create more automated solutions that help make different decisions (recommendations, projections, estimates and smart decisions makers) supported by Machine Learning. To generate these solutions involves a great deal of previous and post process just for Machine Learning to acquire the data, process it, store it, train models, monitor and deploy them and to retrain them, just to name a few. As I commented on a previous post, I work at an intelligence logistic company called www.simpliroute.com The problem that it's tried to be solved with Machine Learning is to better the input required by the VRP algorithm -Rich VRP. A relevant point is the travel times between points, key information to establish a good route planning.