AI in Retail and E-commerce

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

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MODE
Online/ e-LMS

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Weeks

About

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

Intended For

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.

Mentors

AI Mentor

Rajnish Tandon

Bodhi Nexus (Founder)

Biography

AI Mentor

Pratish Jain

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Biography

AI Mentor

J. T. Sibychen

Cyber and Cloud Security Trainer

NIIT Foundation

Biography

More Mentors

Fee Structure

Fee: INR 8,499 USD 112

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