TY  - BOOK
AU  - Prajapat, Ramgopal
TI  - AI-powered ecommerce: how machine learning is transforming online Shopping
SN  - 9798868809224
U1  - 658.827 
PY  - 2024///
PB  - Apress
KW  - Ecommerce--AI
N1  - Table of contents:
Front Matter
Pages i-xvii
Download chapter PDF 
Economics of Ecommerce Business
Ramgopal Prajapat
Pages 1-28
Ecommerce Platform: Digital Ecosystem of Buying and Selling
Ramgopal Prajapat
Pages 29-62
Merchandising for Ecommerce Marketplace
Ramgopal Prajapat
Pages 63-80
Ecommerce Search – Powerhouse of Conversion
Ramgopal Prajapat
Pages 81-107
Curated Choices Using Art and Science of Recommendations
Ramgopal Prajapat
Pages 109-147
Ranking: Science of Sorting in Ecommerce
Ramgopal Prajapat
Pages 149-175
Personalization – AI-Crafted Customer Experience
Ramgopal Prajapat
Pages 177-202
Efficiency a Key Enabler for Delivery Experience and Profitability
Ramgopal Prajapat
Pages 203-232
Back Matter
Pages 233-247

[https://link.springer.com/book/10.1007/979-8-8688-0923-1]
N2  - 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.

(https://link.springer.com/book/10.1007/979-8-8688-0923-1)
ER  -