Improving Last Mile Delivery Efficiency with Advanced Machine Learning Models

Abstract

Because of its wide range of applications and possibilities, artificial intelligence (AI) is becoming more and more significant in many sectors. Particularly in logistics, rising consumer expectations and rising cargo quantities are making it more difficult to predict delivery timeframes, particularly for the last mile. Efficient delivery systems increasingly need third-party logistics, which allows businesses to buy carrier services rather than a costly fleet of vehicles. Attended Home Delivery, the most popular e-commerce business model, is the most costly and time-consuming when a small delivery window is mutually agreed upon with the consumer, reducing potential and maximising flexibility.