AI-Powered Ecommerce

This book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success. The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce. Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape. What You Will Learn * Understand the buyer and seller aspects of ecommerce platforms and how they engage customers * Know the diverse landscape of ecommerce business models * Apply AI/ML technologies to ecommerce to enhance user experience and drive business outcomes * Know how AI/ML can influence revenue generation and cost optimization in ecommerce businesses   This book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success. The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce. Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape. What You Will Learn * Understand the buyer and seller aspects of ecommerce platforms and how they engage customers * Know the diverse landscape of ecommerce business models * Apply AI/ML technologies to ecommerce to enhance user experience and drive business outcomes * Know how AI/ML can influence revenue generation and cost optimization in ecommerce businesses Who This Book Is For Data scientists, machine learning engineers, product and category managers in ecommerce, and business executives Chapter 1: Decoding Ecommerce: Business Models for Delivering Value.- Chapter 2: Ecommerce Platform: Journey from Click to Conversion.- Chapter 3: Ecommerce Merchandising: Presenting Curated Products.- Chapter 4: Ecommerce Search: Matching Query to Products.- Chapter 5: Recommendations: Creating Curated Choices.- Chapter 6: Ranking Algorithms: The Science of Sorting.- Chapter 7: Personalization: AI-crafted Personalized Experiences.- Chapter 8: Efficiency: Efficient Ecommerce Deliveries. Ramgopal Prajapat is a seasoned Data Science professional with over 20 years of experience, specializing in Data Science, Machine Learning (ML) and Artificial Intelligence (AL). He held leadership positions at Tata CLiQ, where he directed teams focused on customer experience enhancement and risk mitigation through AI/ML solutions. As an Associate Partner at IBM, Ramgopal led transformative Data and AI programs for various sectors, including the Government of India and asset management companies. With extensive experience with firms such as Accenture, HSBC, and Infosys, he co-founded a hyper-local ecommerce venture, showcasing his expertise in developing and implementing Data Science and AI/ML strategies. Ramgopal's passion for teaching and his recognition of a significant gap in marketplace and AI understanding among professionals led him to write a book aimed at providing comprehensive resources and actionable strategies for mastering AI-powered ecommerce.