 Название: AI-Powered Ecommerce: How Machine Learning Is Transforming Online Shopping
Автор: Ramgopal Prajapat
Издательство: Apress
Год: 2024
Страниц: 244
Язык: английский
Формат: pdf
Размер: 10.1 MB
This book helps you explore the fusion of Artificial Intelligence (AI) 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.
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