From Complexity to Simplicity: AI's Route Optimization in Supply Chain Management

Abstract

This paper introduces a data-driven strategy aimed at improving last-mile delivery efficiency for e-commerce and supply chain businesses.By leveraging demand pattern analysis, data integration, and customizable constraints, the approach generates cost-effective delivery routes while enhancing customer satisfaction.Its adaptability to market dynamics and specific timeframes makes it a versatile solution for various supply chain scenarios, empowering businesses to optimize operations, reduce costs, and elevate customer service.This innovative method represents a significant advancement in efficient last-mile delivery management, offering valuable insights for academic researchers and industry professionals alike.