國立虎尾科技大學 |

AI-powered Ecommerce = how machine learning is transforming online shopping /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	AI-powered Ecommerce/ by Ramgopal Prajapat.
其他題名:	how machine learning is transforming online shopping /
作者:	Prajapat, Ramgopal.
出版者:	Berkeley, CA :Apress : : 2024.,
面頁冊數:	xvii, 247 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Electronic commerce - Technological innovations. -
電子資源:	https://doi.org/10.1007/979-8-8688-0923-1
ISBN:	9798868809231

AI-powered Ecommerce = how machine learning is transforming online shopping /
Prajapat, Ramgopal.

AI-powered Ecommercehow machine learning is transforming online shopping /[electronic resource] :by Ramgopal Prajapat. - Berkeley, CA :Apress :2024. - xvii, 247 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9798868809231

Standard No.: 10.1007/979-8-8688-0923-1doiSubjects--Topical Terms:

656979
Electronic commerce
--Technological innovations.

LC Class. No.: HF5548.32

Dewey Class. No.: 381.142

AI-powered Ecommerce = how machine learning is transforming online shopping /
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520 $a 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.
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