Development of an AI-based system for forecasting the transit times of parcel deliveries

The overall project is a cooperation between CEP service providers and an online retailer (remote retailer). The goal of the online retailer is to offer his end customers a special customer experience: He would like to give them a reliable delivery date already at the time of enquiry and order. The online retailer takes care of procurement, quality inspection, storage and picking of the shipments. The CEP service provider collects the shipments and is responsible for the delivery process. In the CEP service provider project described here, a reliable statement is determined for the duration of the delivery process for the end customer's order. Especially in times of increased shipment volume and the resulting increased capacity utilisation of the logistics network, delays in the delivery of shipments can occur. With the help of the developed forecasting system, probabilities for transit times of consignments are determined on the basis of machine learning methods and historical data.