Design and Implementation of an AI-powered e-commerce shipping Recommendation System

Abstract

The analysis is based on the implementation of an AI-powered e-commerce shipping recommendation system. The e-commerce industry demands more flexibility to retain customers by integrating different AI technologies. The secondary qualitative and quantitative research methods are used to evaluate the information for the research. Through the help of different sources such as industry report, case studies, and journals the information are collected. The graph and charts are used for the data related to the information about the research topic. The recommendations were also discussed to understand the future work for the research topic and for the better understanding of the research.