Predictive Analytics for E-commerce Logistics Using Machine Learning

Abstract

This investigation looks at how machine learning technology helps improve ecommerce
supply chain operations. The research shows that ML techniques make better
demand predictions, maintain stock levels, and plot delivery routes, which ultimately saves
money, speeds up delivery, and makes customers happier. This analysis shows real-world
uses of ML at Amazon, Shein, and Walmart that show how it helps their e-commerce supply
chains work better. The research points out these main issues but needs to address them;
when systems work together poorly when ethical practices are unclear, and when keeping
customer information secure. The researchers believe ML can greatly improve how
businesses run their supply chain.