Improving Home Delivery Efficiency by Using Principles of Address Intelligence for B2C Deliveries

Abstract

This research shows how to use historical delivery data to predict future delivery results by applying address intelligence. The application of multiple linear regression techniques supports the development of address intelligence identifying and predicting the improvement potential (rework) for other zip code areas. The research has been successfully applied for a logistics parcel service company. In our case the application of address intelligence has shown that pre-delivery contact with the customer about the delivery time window seems to be the most promising concept to guarantee efficient delivery.