AI in Retail and E-commerce
Revolutionize Retail with AI: From Personalized Shopping to Optimized Supply Chains
Online/ e-LMS
Self Paced
Moderate
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
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.
Fee Structure
Standard Fee: INR 4,998 USD 78
Discounted Fee: INR 2499 USD 39
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Key Takeaways
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
Exam | Weightage |
---|---|
Mid Term Assignments | 50 % |
Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
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
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