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Artificial Intelligence and Machine Learning in Financial and E-Commerce Innovation: Fraud Detection, Forecasting, and Risk Management

Dr. Sandeep Dongre, Dr Lalit Mohan Trivedi, Dr Purnendu Bikash Acharjee

Indexed In: Google scholar

Release Date: 2025 | Copyright:©2025 | Pages: 422

DOI: 10.71443/9789349552845

ISBN10: 9349552841 | ISBN13: 9789349552845

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Artificial Intelligence and Machine Learning in Financial and E-Commerce Innovation: Fraud Detection, Forecasting, and Risk Management explores the transformative impact of AI and ML on the financial and e-commerce sectors. It delves into how these technologies enhance fraud detection, risk forecasting, and credit scoring in finance, enabling smarter decision-making and greater security. In e-commerce, AI and ML optimize customer experiences through personalized recommendations, dynamic pricing, and process automation. The book examines key applications, challenges, and solutions, providing valuable insights for professionals and researchers aiming to harness the power of AI and ML to drive innovation and manage risks effectively in these industries.

This book covers the groundbreaking applications of Artificial Intelligence (AI) and Machine Learning (ML) in transforming financial services and e-commerce. It delves into how AI and ML drive innovations in fraud detection, risk management, and predictive forecasting in finance, enhancing security, efficiency, and decision-making. In the e-commerce sector, it explores how these technologies optimize customer experiences, automate processes, and improve supply chain management. The book highlights key use cases, challenges, and solutions, offering an in-depth analysis of how AI and ML can be leveraged to manage risks and drive business growth in both industries.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Introduction to Artificial Intelligence and Machine Learning in Financial and E-Commerce

Arivanantham Thangavelu, Harshmit Kaur Saluja

(Pages:35)

Chapter 2

Data Analytics, Big Data, and Predictive Modeling for Financial Decision-Making

Rajni, Preethi.M

(Pages:35)

Chapter 3

Deep Learning Architectures and Neural Networks for Financial and E-Commerce Intelligence

Sayantan Sinha, Rajesh Bhaskar Survase

(Pages:37)

Chapter 4

AI-Enabled Cloud and Edge Computing for Secure Financial and E-Commerce Applications

Goldi Soni, V. Sangeetha

(Pages:39)

Chapter 5

AI-Based Fraud Detection Systems in the Financial Sector

Jyothi G, Jeena Raju

(Pages:31)

Chapter 6

Machine Learning Models for Credit Card and Online Payment Fraud Detection

Sarabjit Kaur, Ravindra Ghugare

(Pages:32)

Chapter 7

E-Commerce Fraud Detection Using Behavioral Analytics and Deep Reinforcement Learning

Kavitha G, Yukti Varshney

(Pages:34)

Chapter 8

Blockchain and Artificial Intelligence Synergy for Secure Digital Transactions

Kavitha A Karkera, Jyoti Prasad Patra

(Pages:36)

Chapter 9

AI and Cybersecurity: Threat Intelligence and Risk Assessment in Financial Networks

Pallavi Mane, Pravin Kulurkar

(Pages:38)

Chapter 10

Stock Market Forecasting Using Deep Learning and Reinforcement Learning Models

S. Antony Dhas, D. Sri Abinaya

(Pages:37)

Chapter 11

AI-Based Consumer Behaviour Prediction and Sales Forecasting in E-Commerce

Prasenjit Chakravarty, Sudeshna Pahari

(Pages:32)

Chapter 12

Machine Learning for Dynamic Pricing and Revenue Optimization in E-Commerce Platforms

K. Jayaprakash, Sandeep Dongre

(Pages:39)

Chapter 13

AI-Driven Risk Management and Compliance Strategies in Finance and E-Commerce

Kavitha A Karkera, Rajalakshmi Gurusamy

(Pages:35)

Chapter 14

AI-Powered Supply Chain Optimization and Demand Forecasting in E-Commerce

Sohit Reddy Kalluru

(Pages:33)

Chapter 15

Explainable AI and Model Transparency in Financial Decision Support Systems

A. Nooka Raju, M.Anitha

(Pages:36)


Contributions


Dr. Sandeep Dongre is a Professor of Practice and Head of Placements at SIBM Nagpur (Symbiosis International Univ) with over 20 years of experience across FMCG, Telecommunications, Internet, Hospitality, and Mobility sectors. He holds a Ph.D. in Management from the University of Hyderabad, a PGDM from IIM Bangalore, and a B.Tech in Chemical Engineering. Dr. Dongre has held leadership roles such as Chief Business Officer at new age Cancer company 1Cell.Ai, President – Enterprise & Business Development at Droom, Chief Operating Officer at Meru Mobility (Mahindra Group), and Senior Vice President at OYO, with earlier stints at Coca-Cola, PepsiCo, and Virgin Mobile. His expertise spans across business management, P&L ownership, organizational strategy, and operational excellence, blending corporate experience with academic mentorship to bridge industry–academia collaboration.

Dr Lalit Mohan Trivedi is Working as Assistant Professor in Mathematics at Moradabad Institute of Technology, Moradabad UP - India For more than 19 Years. His area of expertise is optimization in network system and operation research. He is working as coordinator - Mathematics in the department of Applied Sciences and Humanities. He has Published more than 55 research papers in reputed journal and in International, National Conference/ Seminars. He has Published 45 patents and 9 Books and many more are in que.

Dr Purnendu Bikash Acharjee has 21+ years of academic and research experience. Currently, he is working as an Associate Professor, Computer Science, working in the School of Business and Management, CHRIST University. Prior to that, he was an Associate Professor at the School of Computing, RIMT University, Punjab, and an Associate Professor and Associate Dean at the School of Computing Sciences, Kaziranga University, Assam. Dr Acharjee obtained an M.Sc. (Computer Science) and an M.Tech. (Information Technology), and a PhD (Faculty of Technology) from Gauhati University, Assam. Dr Acharjee has 89 papers [62 SCOPUS indexed], 4 [SCI indexed], 12 [Web of Science indexed], 5 book chapters [refereed international and national journals], 2 books, and has granted 31 International-National Patents, and 8 National Patents got published. He worked as the Organising Chair at IEEE International Conference-Conclave-2023-24, General Chair at upcoming IEEE International Conference 2025-26 hosted by CHRIST University. Participated in 29 AICTE/UGC/Industry-sponsored (two-week duration) short-term courses and FDPs, Paper Reviewer in 15 International Conferences, and Technical Program Committee member in 10 International Conferences, including IEEE, Springer, etc. He also guided six PhD research scholars, of whom two received their PhD.

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