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, ultimately driving 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

Module 8: Final Project

• Design an AI solution for a retail or e-commerce problem
• Focus on areas like Personalization, Inventory Management, or Customer Engagement
• Presentation and Documentation of the Solution
• Evaluation Based on Practical Implementation

Participant’s Eligibility

• 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.

Program Deliverables

• Access to e-LMS
• Real-Time Project for Dissertation
• Project Guidance
• Paper Publication Opportunity
• Self-Assessment
• Final Examination
• e-Certification
• e-Marksheet

Future Career Prospects

• E-commerce Data Scientist
• Retail AI Specialist
• AI Product Manager for E-commerce
• Marketing Automation Specialist
• Supply Chain Optimization Engineer
• Customer Experience Analyst

Job Opportunities

• E-commerce platforms
• Retail technology companies
• Marketing and analytics firms
• AI-driven startups focused on customer experience
• Supply chain and logistics companies