AI-Powered Ecommerce: How Machine Learning Is Transforming Online Shopping

Prajapat, Ramgopal

  • 出版商: Apress
  • 出版日期: 2024-12-12
  • 售價: $1,890
  • 貴賓價: 9.5$1,796
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868809224
  • ISBN-13: 9798868809224
  • 相關分類: Machine Learning
  • 尚未上市,無法訂購

相關主題

商品描述

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

商品描述(中文翻譯)

這本書幫助您探索人工智慧與線上零售世界的融合,深入了解AI技術如何徹底改變電子商務。從解碼電子商務商業模式到優化電子商務配送效率,每一章都深入探討AI驅動的電子商務的特定面向,提供實用的見解和成功策略。

旅程從解碼多樣化的電子商務商業模式開始。從直銷到市場平台,這本書揭示了每個模式的內部運作,探討了收入驅動因素、成本考量和盈利組成。隨著您逐步深入書中,將更深入探討電子商務平台本身,探索其在促進交易和培養客戶關係中的角色。隨後的章節深入探討電子商務中的商品銷售複雜性、搜尋、推薦引擎、排名算法、個性化技術和效率提升。從教授如何將查詢與產品匹配的科學到打造個性化的客戶體驗,每一章都提供了寶貴的見解和可行的策略,以利用AI在電子商務中的應用。

無論您是資深的電子商務專業人士還是新手,這本書都為您提供了在日益競爭的環境中保持領先所需的知識和可行的案例。

您將學到的內容:
- 了解電子商務平台的買方和賣方面向,以及它們如何吸引客戶
- 知曉多樣化的電子商務商業模式
- 將AI/ML技術應用於電子商務,以提升用戶體驗並推動業務成果
- 知道AI/ML如何影響電子商務企業的收入生成和成本優化

本書適合對象:
數據科學家、機器學習工程師、電子商務產品和類別經理,以及商業高管。

作者簡介

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.

作者簡介(中文翻譯)

Ramgopal Prajapat 是一位資深的數據科學專業人士,擁有超過 20 年的經驗,專注於數據科學、機器學習 (ML) 和人工智慧 (AI)。他曾在 Tata CLiQ 擔任領導職位,負責指導專注於通過 AI/ML 解決方案提升客戶體驗和風險緩解的團隊。作為 IBM 的副合夥人,Ramgopal 領導了針對各個行業的數據和 AI 轉型計劃,包括印度政府和資產管理公司。擁有在 Accenture、HSBC 和 Infosys 等公司的豐富經驗,他共同創立了一個超本地電子商務創業公司,展示了他在開發和實施數據科學及 AI/ML 策略方面的專業知識。Ramgopal 對教學的熱情以及他對專業人士在市場和 AI 理解上存在重大差距的認識,促使他撰寫了一本書,旨在提供全面的資源和可行的策略,以掌握 AI 驅動的電子商務。