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0 reviewsThe 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