AED
UAD Dirham
Code: AED
Mentor Based
AI in Retail and E-commerce
Revolutionize Retail with AI: From Personalized Shopping to Optimized Supply Chains
Early access to the e-LMS platform is included
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
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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