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Mentor Based

AI in Retail and E-commerce

Revolutionize Retail with AI: From Personalized Shopping to Optimized Supply Chains

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Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Weeks

About This Course

This program covers the use of AI in retail, including recommendation systems, demand forecasting, customer segmentation, and chatbots. Learners will engage with case studies and hands-on projects to understand how AI enhances e-commerce platforms, automates inventory management, and personalizes user experiences.

Aim

This program is designed to introduce PhD scholars, academicians, and professionals to the innovative applications of AI in retail and e-commerce. Participants will explore how AI is transforming customer experiences, optimizing supply chains, and enabling personalized marketing strategies, leading to higher revenue and operational efficiency.

Program Objectives

  • Learn how AI is transforming retail and e-commerce operations.
  • Implement AI models for recommendation systems and demand forecasting.
  • Explore AI applications in customer segmentation and personalization.
  • Build AI-driven chatbots for improving customer interactions.
  • Optimize supply chain operations using AI-powered tools.

Program Structure

Module 1: Introduction to AI in Retail and E-commerce

  • Overview of AI Applications in Retail
  • E-commerce and Digital Transformation
  • Benefits of AI: Personalization, Efficiency, and Automation
  • Key AI Technologies: Machine Learning, NLP, and Computer Vision

Module 2: AI for Personalization and Customer Insights

  • Personalized Product Recommendations (Collaborative Filtering, Content-Based)
  • Customer Segmentation with AI
  • Predictive Analytics for Customer Behavior
  • AI-Driven Customer Relationship Management (CRM)

Module 3: AI in Inventory and Supply Chain Management

  • Demand Forecasting with Machine Learning
  • AI for Automated Inventory Management
  • AI-Powered Supply Chain Optimization
  • Case Studies in AI-Enhanced Supply Chains

Module 4: AI for Visual Search and Product Discovery

  • Computer Vision for Visual Product Search
  • AI-Powered Product Recommendations with Images
  • Enhancing User Experience with Visual Search Tools
  • Real-World Applications of AI in Product Discovery

Module 5: AI in Marketing and Sales Automation

  • AI for Targeted Advertising and Marketing
  • Chatbots and Conversational AI for Customer Engagement
  • Predictive Analytics for Sales Performance
  • Automating Customer Support with AI

Module 6: Fraud Detection and Security in E-commerce

  • AI for Detecting Fraudulent Transactions
  • Behavioral Analytics and Anomaly Detection
  • AI-Driven Risk Management in Payment Systems
  • Case Studies in AI for Fraud Prevention

Module 7: Ethics and Challenges of AI in Retail and E-commerce

  • Privacy Concerns with AI in Retail
  • Ethical Implications of Personalized Advertising
  • AI Bias and Fairness in E-commerce Systems
  • Regulatory and Compliance Issues

 

Who Should Enrol?

AI researchers, e-commerce professionals, marketing experts, and retail managers focused on integrating AI into retail operations.

Program Outcomes

  • Ability to design and implement AI systems for e-commerce platforms.
  • Skills in building recommendation engines and customer segmentation models.
  • Hands-on experience developing AI chatbots for retail customer service.
  • Understanding of AI-driven supply chain and inventory management.

Fee Structure

Discounted: ₹8499 | $112

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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