Book review: AI-Powered Ecommerce – How Machine Learning Is Transforming Online Shopping

Have you wondered how artificial intelligence (AI) and machine learning (ML) are transforming your online shopping behaviour? Here is the book that will answer how AI has reshaped the retail industry. The book “AI-Powered Ecommerce – How Machine Learning is Transforming Online Shopping” offers a timely exploration of the above phenomena, both as a buyer and seller on an e-commerce platform.The book is a comprehensive guide on how machine learning is transforming users' experience and influencing consumers’ purchase decisions in the e-commerce segment. The unique proposition of the book is the practical insights generated from real-world examples, which decode the different e-commerce business models for the reader. Each chapter provides a narrative case study on real-life e-commerce-related problems and shows a pathway to approach the solution.The book establishes a new shelf among the existing e-commerce textbooks/reference books available in the market. This book offers a novice perspective on the integration of AI in the e-commerce industry and expanding the boundaries of e-commerce thought leadership. The author of the book has drawn insight from his 2 decades of working experience in AI with India’s top-notch corporates like IBM, Accenture and Tata CLiQ. The book is an ideal reference text for e-commerce practitioners, platform business owners and managers, digital marketers and the faculty teaching e-commerce courses across the globe.The book is organized into eight chapters, where each chapter delves into the different aspects of AI integration into e-commerce. The first chapter is about the economics of the e-commerce business, which has largely focused on different e-commerce business models, and their revenue drivers and cost streams. The second chapter is on the e-commerce platform: digital ecosystem of buying and selling that provides insights into how the platform functions and its role in enabling transactions among producers and consumers. The cases on how to bring and engage visitors on the e-commerce platform through various AI-integrated marketing funnels are particularly insightful and helpful in understanding personalized targeting and real-time behavioural analytics.The third chapter is on merchandising for e-commerce marketplace and focuses on the applications of AI for product assortment, pricing and display. The salient feature of this chapter is category management and brand prioritizing on the e-commerce platform. The fourth chapter is on e-commerce search – powerhouse of conversation and discusses in detail the search algorithm and optimization for an enriched user experience. It provides practical insights on how search terms can be linked to product catalogues with multiple examples. This chapter provides theoretical frameworks of search architecture in the most lucid and interesting ways.Chapter five is on curated choices using art and science recommendations, is the heart of the textbook, and explores the recommendation systems for e-commerce to engage buyers with curated choices and different filtering algorithms like collaborative and content filtering. Chapter six is about the science of ranking and sorting in e-commerce, which examines the impact of ranking algorithms on product visibility. The salient feature of the chapter is the machine learning model of ranking.Chapter seven is about AI-based personalization to craft customer experience. The chapter discusses an AI-based personalization strategy based on data from browsing behaviour, purchase history and demographics. The last chapter is about how operational efficiency through AI in logistics and supply chains is a key enabler for delivery experience and profitability in various e-commerce segments. The chapter briefly discusses how AI helps customers with the right decision-making to reduce customer-initiated returns.The book is structured for all categories of users: newcomers, intermediate and experts. By merely looking at the words like “AI” and “ML” in the title of the book, the reader might frame the perspective that the book is for technical users. However, the book is designed for product/category managers, business leaders, not just for data scientists and technology managers. The book starts with fundamentals of e-commerce business models and a deep dive into the AI/ML applications at each stage of the e-commerce business processes.The book showcases how the use of AI and ML can transform the consumer purchase journey on an e-commerce portal. For example, how AI and ML can personalize a homepage for each user and improve engagement and conversions. The book discusses at length how the next generation AI algorithms interpret and respond to a simple query like “printed sarees below INR 2000” with relevant results. At the same time, the book demonstrates how AI helps in identifying the reasons for user drop-off and applies personalized incentives to improve the final checkout.The book also addresses how ML can support backend operations and logistics like shipping time forecasts, route optimization and reduced returns.The book has its notable strong points and certain inherited weaknesses to be considered, like any other scholarly work. For the complete evaluation, it is important to narrate strengths and weaknesses.The following are the major plus points of the book.The following are major drawbacks of the books.Another noteworthy point of the book is that most of the citations in the book are drawn from various periodicals and technology blogs that bring additional insights on AI integration in the e-commerce segment.The book is available in both paperback as well as electronic formats. The book is lightweight and easy to carry in a laptop bag. The book is strongly recommended for e-commerce consultants and practitioners and will deliver value for money. The book can be used as a supplement to the textbook to deliver e-commerce or relevant courses to explain to students how AI and machine learning (ML) are transforming the e-commerce sector. The book is recommended for library use in universities and institutions.In a nutshell, the book provides a comprehensive coverage of how AI has changed the e-commerce and online retail space. The book could have taken a more proactive approach by including how the futuristic Gen AI and agentic AI technologies could further shape consumer buying behaviour and transform the e-commerce industry.