GENX ECOMMERCE WITH ARTIFICIAL INTELLIGENCE
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GENX ECOMMERCE WITH ARTIFICIAL INTELLIGENCE

AI in Retail Analytics

About the Book

In this comprehensive ebook, discover how Artificial Intelligence (AI) is redefining the e-commerce landscape. Learn how to leverage AI to:

  • Personalize the Customer Journey: Craft unforgettable shopping experiences with AI-powered recommendations, chatbots, and targeted marketing.
  • Boost Sales and Conversions: Optimize pricing strategies, predict customer behavior, and minimize cart abandonment with the power of AI data analysis.
  • Streamline Operations: Automate repetitive tasks, gain valuable insights from vast datasets, and make data-driven decisions with AI as your partner.

Whether you're an e-commerce beginner or a seasoned entrepreneur, this ebook provides the knowledge you need to:

  • Understand the core concepts of AI in e-commerce.
  • Explore practical applications of AI across different aspects of your business.
  • Gain a competitive edge and future-proof your online store.

Don't miss out! Download this ebook today and unlock the potential of AI to transform your e-commerce business!

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    • Self-Publishing
    • Artificial Intelligence
    • Ecommerce
    • Education
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Table of Contents

Table of Contents Introduction 01 About the book 03 Chapter 1: AI in the ECommerce Landscape 1.1 ECommerce at a Glance 05 1.2 AI Essentials for ECommerce 07 Chapter 2: AI Solutions for ECommerce 2.1 Chatbots and intelligent Virtual Assistants (IVAs) 12 2.2 AI-Enabled Personalization 16 2.3 Supply Chain Streamlining 21 2.4 Automated Price Optimization 24 2.5 Sentiment Analysis 27 2.6 Content Development and Formulation 30 2.7 Fraud Risk Management 33 2.8 Voice-Assisted Commerce 36 Chapter 3: Predictive Data Analytics 3.1 Basics of Predictive Analytics in Ecommerce 39 3.2 Big Data for Business Intelligence 41 3.3 Inventory Planning using Predictive Analytics 44 3.4 Retention Strategies based on Churn Prediction 48 3.5 Engineering and Integrating Predictive Systems 53 3.6 Blueprint for executing data-driven decisions 56 Chapter 4: Automation and Operational Efficiency 4.1 Automating Order Fulfillment Processes 59 4.2 AI-Enabled Customer Service 64 4.3 Automated Marketing Operations 66 4.4 Omni-channel Retailing 70 Chapter 5: Security and Fraud Monitoring 5.1 Preventing Fraud in Transactions 71 5.2 Securing Digital Assets 75 Chapter 6: Emerging Trends and Opportunities 6.1 AI-Powered Augmented Reality Solutions 78 6.2 Interactive Voice Shopping 81 6.3 Intelligent Supply Chain Solutions 84 6.4 Preparing for the Future of AI in Online Retail 87 Chapter 7: Ecommerce Applications using AI 7.1 Applications and Tools for AI in ECommerce 91 Conclusion 97

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