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AI-Driven Retail FDP 2026 MSRIM: Experience 4.0 & Resilient Retail Ecosystems
Applications are now open for the AICTE Training and Learning (ATAL) Academy sponsored AI-Driven Retail FDP 2026 MSRIM. Themed “AI-Driven Retail Experience 4.0: Immersive Technologies & Resilient Retail Ecosystems”, this six-day national-level offline Faculty Development Programme is organized by M. S. Ramaiah Institute of Management (MSRIM), Bengaluru.
Scheduled to take place from September 21 to September 26, 2026, this workshop aims to equip faculty members, research scholars, and post-graduate students with theoretical and practical knowledge in retail intelligence, augmented/virtual reality, omnichannel strategy, and supply chain resilience. There is no registration fee for selected participants.
Program Details Overview
| Feature | Details |
| Program Title | AI-Driven Retail Experience 4.0: Immersive Technologies & Resilient Retail Ecosystems |
| Host Institution | M. S. Ramaiah Institute of Management (MSRIM), Bengaluru, Karnataka |
| Sponsorship | AICTE Training and Learning (ATAL) Academy |
| Program Mode | Offline (In-Person Conduction) |
| Program Dates | September 21 to September 26, 2026 |
| Registration Fee | Nil (Free of Cost) |
About the Programme
The AI-Driven Retail FDP 2026 MSRIM addresses the ongoing digital transformation of the global retail industry, driven by Artificial Intelligence, Generative AI, Machine Learning, Augmented Reality (AR), Virtual Reality (VR), and Extended Reality (XR).
Aligned with the National Education Policy (NEP) 2020, Industry 5.0 principles, and Digital India, the curriculum combines expert lectures, live software demonstrations, hands-on labs, and an industrial field visit.
Key Thrust Areas Covered
- Artificial Intelligence for Retail & Conversational Commerce
- Generative AI, Big Data Analytics, and Recommendation Engines
- Computer Vision & Smart Retail (Cashierless Stores)
- Immersive Technologies: Augmented Reality (AR), Virtual Reality (VR), and Extended Reality (XR)
- Omnichannel Retail Strategies and Phygital Journeys
- Supply Chain Resilience, Retail Logistics, and Demand Forecasting
- Digital Marketing, D2C Brands, and Social Commerce Analytics
- Sustainable Retailing, Circular Economy, and Ethics in AI Retail
Expert Speakers & Resource Persons
Sessions will be delivered by eminent corporate executives and academic faculty:
- Mr. Somshekar N. T. – Head of Business Process and Transformation, Diageo
- Mr. Partha Sen – AVP – AI COE, Datametrics Global Services
- Mr. Manjunath Nallapeta – Manager (Product & Program), Amazon India
- Mr. Kumar Aditya – Senior Management Consultant, IBM
- Prof. Sanjita Jaipuria – Associate Professor, IIM Shillong
- Prof. Suresh Paul Anthony – Professor, IIM Trichy
- Mr. Lingaraj Rath – Senior Manager (Retail Innovation), Genpact
- Mr. Naveen Muddu – Director of Product Engineering, SanDisk
Daily Schedule Breakdown
| Day & Date | Morning Session (09:30 AM – 12:00 PM) | Afternoon Session (02:00 PM – 04:30 PM) | Lab / Hands-on Session (04:30 PM – 05:30 PM) |
| Day 1 (21-09-2026) | S1: Retail 4.0 – AI, Big Data & the New Consumer | S2: Generative AI & Conversational Commerce | Lab 1: AI Demo – ChatGPT in Retail |
| Day 2 (22-09-2026) | S3: AR/VR in Retail – Virtual Try-ons & Immersive Storefronts | S4: Computer Vision & Smart Retail (Cashierless Stores) | Lab 2: AR Try-On Tools (Snap/WebAR) |
| Day 3 (23-09-2026) | S5: Personalisation Engines & Recommendation Systems | S6: Supply Chain Resilience & Retail Logistics | Lab 3: Demand Forecasting with Python |
| Day 4 (24-09-2026) | S7: Omnichannel Strategy & Phygital Retail | S8: Digital Marketing, D2C Brands & Social Commerce | Lab 4: Social Commerce & Influencer Analytics |
| Day 5 (25-09-2026) | Industrial Field Visit (Morning Phase) | S9: Sustainable Retail & Circular Economy | Lab 5: Hands-on at Industry Site |
| Day 6 (26-09-2026) | S10: NEP 2020, Research Methodology & Ethics in AI Retail | MCQ Assessment & Reflection Journal | Valedictory Session |
Eligibility Criteria & Certification Requirements
Target Participants:
- Faculty Members: Assistant Professors, Associate Professors, Professors, and Professors of Practice from AICTE-approved institutions.
- Research Scholars: PhD and FPM scholars.
- Students: PG Students from AICTE-approved institutions.
- Departments: MBA, BBA, Commerce, Management, CSE, IT, AI & DS, MCA, ECE, and allied disciplines.
Mandatory Certification Conditions:
An official ATAL participation certificate will be issued by the AICTE ATAL Academy subject to:
- Maintaining a minimum of 80% attendance across all six days.
- Successful completion and passing of the final MCQ assessment and submission of the reflection journal.
Important Dates
| Event | Date |
| FDP Duration | September 21 to September 26, 2026 |
Step-by-Step How to Apply
- Visit the official AICTE ATAL Portal.
- Log in or register a new participant account.
- Navigate to FDPs and search for “AI-Driven Retail Experience 4.0: Immersive Technologies & Resilient Retail Ecosystems” or filter by M. S. Ramaiah Institute of Management.
- Submit your registration request early, as seats are allocated per ATAL Academy guidelines.
Important Links
| Resource | Links |
| Official Registration Portal | AICTE ATAL Portal |
| Download FDP Brochure | Download |
| Download FDP Schedule | Download |
Contact Details
| Resource | Link / Details |
| FDP Convener | Prof. (Dr.) Geetha Rajaram (Dean & Professor, MSRIM) |
| FDP Coordinator | Prof. (Dr.) Bikash Ranjan Debata (Phone: 7022118841 / Email: bikash@msrim.org) |
| FDP Co-Coordinator | Prof. Arul Jyothi M (Phone: 9964664774 / Email: aruljyothi@msrim.org) |
| Connect Desk Email | atalfdprim@msrim.org |
| Connect Desk Phone | 080-2360-6640, 6641, 6642, 8769 & 8098 (Ext: 159) |
FAQs
Is there any registration fee for the AI-Driven Retail FDP 2026 MSRIM?
No, there is no registration fee. The program is fully sponsored under the AICTE ATAL Academy initiative.
What hands-on tools will be covered during the lab sessions?
Participants will gain hands-on experience with ChatGPT in retail, AR Try-On tools (Snap/WebAR), Python for demand forecasting, and social commerce analytics.
Which departments are eligible to apply for this FDP?
Faculty and scholars from Management, Commerce, MBA, BBA, Computer Science Engineering, Information Technology, AI & Data Science, MCA, ECE, and allied fields are eligible to apply.