AI in Retail and E-commerce
Revolutionize Retail with AI: From Personalized Shopping to Optimized Supply Chains
Skills you will gain:
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.
What you will learn?
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
Intended For :
AI researchers, e-commerce professionals, marketing experts, and retail managers focused on integrating AI into retail operations.
Career Supporting Skills