How machine learning streamlines location data with the Kalman filter

Machine learning and the internet of things as tools to optimize location analytics in logistics and supply chain management. It’s an accepted fact that technology, especially cloud-based, can benefit companies by optimizing routes and predicting the accurate estimated time of arrivals (ETAs). The direct business value of this optimization lies in the streamlining of various fixed and variable costs associated with logistics.