Self Paced

AI in Retail and E-commerce

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

MODE
Online/ e-LMS
TYPE
Self Paced
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

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 Currencies

Batches

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Autumn
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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

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Need a elaborative and time to discuss with students


Lalitha Bai : 2024-10-13 at 7:36 pm

Very nice interaction, but need to clear all the doubts in all the sessions and each session should More be equally valuable for all as the 2nd day session was most informative while 1st day and 3rd day were more or less like casual.
Shuvam Sar : 2024-10-12 at 5:49 pm

Sometimes there was no pause between steps and it was easy to get lost. When teaching how to use More tools one must repeat each step more than once making sure everyone follows.
Celia Garcia Palma : 2024-10-12 at 1:05 pm

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