Last-mile monitoring, tracking and Control applications

For last-mile logistics routing algorithms, we are determining patterns in supply chain data through machine learning for enabling excellent customer experiences that can transform the prospects of most logistics businesses. Our application of AI in logistics “Last-Mile” delivery uses algorithms, patterns and predictive insights from large data sets to differentiate categories. We are using machine learning to identify the type of delivery address – whether it is office or home – and the system automatically figures out the best time to make the delivery attempt. This increases the likelihood of addressee’s presence at the delivery address ensuring successful delivery. Thus, in our Last-Mile logistics solution, we are using Maximum Likelihood application for keeping the supply chain updated also for other updates about other factors such as weather forecasts, traffic situations and other important factors directly or indirectly impacting the delivery schedule.