Empirical Research For Futuristic E Commerce Systems Foundations And Applications
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Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications
Recently, there has been an increase in the number of e-commerce users. This has caused online shopping to become a new and challenging market for e-commerce vendors. Security, inventory management, reliability, and performance of e-commerce websites are a few of the challenges associated with the rising popularity of e-commerce. On a daily basis, millions of e-commerce transactions are taking place. This generates a huge amount of data that can be used to solve the various challenges of e-commerce. Further study on how this data can be used to address these issues is required to propel businesses forward. Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce. By looking at the exponential growth of the e-commerce market and its popularity, this book also focuses on the current issues, solutions, and future possibilities in the B2C model of e-commerce. Covering a range of critical topics such as online shopping, supply chain management, and blockchain, this reference work is ideal for academic scientists, data scientists, software developers, business experts, researchers, scholars, practitioners, academicians, instructors, and students.
Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications
Author: Saurabh Bilgaiyan
language: en
Publisher: Business Science Reference
Release Date: 2022
"This book offers contributions from various fields of machine learning, deep learning, nature-inspired computing, artificial intelligence to build intelligent systems for developing efficient e-commerce platforms"--
Empirical Research for Futuristic E-Commerce System
Author: Saurabh Bilgaiyan
language: en
Publisher: Business Science Reference
Release Date: 2022
Shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce.