Global Online Certification Course on

Generative AI for Business Decisions (GAIBD-2024)

22nd June 2024 to 28th July 2024
  12 lectures, Saturday & Sunday: 5:00 PM to 7:30 PM, tentative
30 hours Course
  Every Saturday and Sunday
  Live Via Webex

Course Instructors

Prof. David Simchi-Levi

Professor – Business & Supply Chain Analytics & Director, Data Science Lab,
Massachusetts Institute of Technology, USA

Prof. Manoj K Tiwari

Indian Institute of Management Mumbai, India

Course Overview

In the course “Generative AI for Business Decisions”, supply chain executives will embark on an immersive exploration of the complex challenges facing modern supply chains. With inflationary pressures mounting, companies grapple with escalating costs across key economic inputs such as energy, labor, materials, and transportation. Concurrently, disruptions loom large, stemming from global events like trade conflicts, pandemics, and extreme weather phenomena, all of which underscore the critical need for adaptive strategies. Moreover, the persistent labor market shortage, exacerbated by the COVID-19 pandemic, compounds the intricacies of supply chain management, impacting everything from manufacturing to strategic planning. Against this backdrop of challenges, Generative AI emerges as a transformative force, offering a paradigm shift in supply chain decision-making. Throughout the course, participants will delve into the intricacies of Generative AI technology and its profound implications for supply chain optimization. From enhancing demand forecasting accuracy to optimizing procurement processes and dynamically managing inventory levels, Generative AI promises to revolutionize every facet of supply chain operations. Furthermore, its role in fostering seamless collaboration among supply chain partners and enabling data-driven pricing decisions will be explored in depth.

Real-world case studies will serve as poignant illustrations of Generative AI’s tangible impact on supply chain performance and business outcomes. Participants will gain valuable insights from diverse industry contexts, ranging from multinational corporations to agile startups, showcasing Generative AI’s versatility and transformative potential across different sectors. By the course’s conclusion, supply chain executives will be equipped with the knowledge and tools needed to harness Generative AI effectively, positioning their organizations for sustained success in an increasingly dynamic and competitive business landscape.

Course Highlights

Course Highlights
Lecture recordings will be provided for 1 week
Course Highlights
Learn decision making techniques through exhaustive case studies
Course Highlights
Capitalize the open platform to share your professional experiences live
Course Highlights
Lecture slides and supplementary material after each session

Course Outcome

  • Comprehend the concepts of Deep Neural Network, GPT-3, and GPT-3.5 and their applications in the field of Supply Chain Management.
  • Understand the potential of Generative AI in enhancing Demand Forecasting and Inventory Management processes.
  • Conduct a thorough case study analysis focusing on Retail, Consumer Packaged Goods (CPG), and Hi-Tech industries.
  • Apply Generative AI in Revenue Management using Transformers and LSTM Architectures


  • Week 1: Foundations of AI and ML

           - Supervised and Unsupervised Learning
           - Regression Trees, Random Forest and CatBoost
           - Techniques for Unsupervised Learning

  •        - Introduction to Generative AI
           - GPT-3
           - The Challenges of GPT-3
           - ChatGPT and Generative AI

  •        - Optimizing Complex Decisions
           - Linear Programming Formulation
           - Shadow Price and Sensitivity Analysis
           - Optimization with Gen AI
           - Case Studies: Production Optimization and Financial Investments

  •        - Unified View of Demand
           - Supply Chain Segmentation
           - Smart S&OP
           - Control Tower
           - Supply Chain Resiliency

  •        - Generative AI for Supply Chain Planning
           - Generative AI for Demand Planning
           - Generative AI for Procurement Planning
           - Generative AI for Supply Chain resiliency
           - Transformer and Image Processing for Supply Chain Decisions
           - Case studies: Retail, CPG, High-Tech

  •        - Demand Forecasting and Price Optimization
           - Integration of Transformer with Price Optimization
           - Case Study: Online Fashion Retailer Zalando

About Course Instructors

Prof. David Simchi-Levi

Professor – Business & Supply Chain Analytics & Director, Data Science Lab, Massachusetts Institute of Technology, USA

Prof. David Simchi-Levi is the most renowned Professor and Thought Leader in the field of Supply Chain Management and also serves as the Editor-in-Chief of Management Science. In 2023, he was elected as a member of the National Academy of Engineering. He is the recipient of the prestigious INFORMS Impact Prize 2020 for his work on Supply Chain Resilience. His book, "Designing and Managing the Supply Chain" (with P. Kaminsky and E. Simchi-Levi) is a staple across B-schools for their Supply Chain Management courses. He is the founder and chairman of LogicTools which provides software solutions and professional services for supply chain optimization. The company has provided decision support systems to clients such as Caterpillar, ConAgra, Kraft Foods, Mercer Management, Ryder, SC Johnson, UPS, U.S. Postal Service, Walgreens, etc., and was acquired by IBM.

Profile on MIT website:
LinkedIn Profile:

Prof. Manoj Kumar Tiwari

Prof. Manoj K Tiwari, Director-IIM Mumbai, is on-lien from his post as Professor, Department of Industrial and Systems Engineering at the Indian Institute of Technology, Kharagpur. He has been ranked 1 among the top 100 individual researchers across the world who had published research articles in the International Journal of Production Research (1985-2010), the top leading author for Supply Chain Analytical Techniques (Computer & Industrial Engineering), among Top 20 most productive authors in the area of Production and Operations Management in the last 50 years (Int. Journal of Production Economics, 2009) and rated 2nd among many researchers working in Logistics and Supply Chain Management in India (Analysis of the logistics Research in India-White paper published in TU Dortmund University, Dortmund Germany-2012). He is the recipient of the “Most Influential Researcher Award” in the domain of Operations and Supply Chain Management. He was recently awarded the David F. Baker Distinguished Research Award from the Institute of Industrial & Systems Engineers (IISE, USA). Optimization, Simulation, and Computational Intelligence are the main techniques adopted by Prof. Tiwari to automate the decision support system for complex and large-scale problems in Manufacturing and Logistics Systems.

LinkedIn Profile:

Course Fees

 Course fees for individual registration

  • Category Fee Category Registration Fee (Inclusive of taxes) Registration
    Participants from India Industry Professional ₹ 40,000 Click Here
    Alumni ₹ 35,000 Click Here
    Academician ₹ 30,000 Click Here
    Foreign Participants Any USD 500 Click Here

 Course fees for bulk registration

  • Slabs Total Fee (inclusive of taxes)*
    10+ Industry Professionals ₹ 30,000 /- per participant
    10+ Academicians ₹ 25,000 /- per participant
    For Bulk registrations from one organization (More than 10 participants) email to

Success of Previous Courses

IIM Mumbai has successfully completed 10 versions of the Global Online Certification Course on Supply Chain Digitization & Management, End-to-End Supply Chain Transformation through Digitization, and Business & Operations Analytics in association with Prof. David Simchi-Levi since 2021-22. The courses received an overwhelming response with 18000+ individuals from reputed national and international organizations. Some prominent academic institutions include the IITs, IIMs, IIFT, University of London, and the University of Warwick, and some eminent organizations include P&G, HUL, GE, ITC, Amul, Deloitte, General Mills, IBM, Titan, Reliance, PwC, and many more.

  • Analytics 2021
  • Digital SCM 2021
  • SCM Transformation 2021

Analytics 2021

Statistics and Feedback

Analytics 2021

Corporate Involvement

Analytics 2021

Educational Institution

Digital SCM 2021

Statistics and Feedback

Digital SCM 2021

Corporate Involvement

Digital SCM 2021

Educational Institution

SCM Transformation 2021

Statistics and Feedback

SCM Transformation 2021

Corporate Involvement

Frequently Asked Questions

IIM Mumbai

   About Indian Institute of Management Mumbai

  • IIM Mumbai, formerly known as NITIE, has a rich history dating back to its establishment in 1963 with support from the government of India, UNDP, and ILO. Renowned for its commitment to excellence, the institute earned the impressive rank of 7th among Indian management schools in 2023, according to NIRF. Specializing in industrial management, supply chain, and operations, IIM Mumbai distinguishes itself through its focus on transformative education and industry-inspired research.
  • The institute boasts robust connections across private, public, and academic sectors, facilitating a holistic learning environment. With a strategic vision, IIM Mumbai aims to propel Indian businesses onto the global stage, dedicated to supporting the dynamic sectors of the Indian economy. By aligning its vision and activities with current and future needs, the institute stands as a beacon for fostering innovation, leadership, and global competitiveness in the field of management education.

About IIM Mumbai's Centre of Excellence in Logistics and Supply Chain Management

  • Shri Piyush Goyal (Minister of Commerce & Industry, Consumer Affairs & Food & Public Distribution and Textiles, Government of India) inaugurated the Centre of Excellence in Logistics and Supply Chain Management at IIM Mumbai on 23rd September 2021.
  • This center will act as a driving force to train and launch top quality programs to disseminate advanced knowledge and promote Digitization, Analytics, and IoT Application and Decision Support Systems through Artificial Intelligence and Machine Learning applications and Digital Twin and Control towers, to strengthen the monitoring and analysis of complex logistics operations.
  • It will help the logistics sector become more cost-effective, make the sector more competitive, create new jobs, export more, engage better with the world markets, expand outreach and bring more economic activity to India.

Course Coordinators

Prof. Rofin T M

Assistant professor,
Operations & Supply Chain Management

Prof. Maheswar Singha Mahapatra

Assistant Professor,
Operations & Supply Chain Management

Prof. Veepan Kumar

Assistant Professor,
Operations & Supply Chain Management

Prof. Amit Kumar Das

Assistant Professor,
Analytics & Data Science

Prof. Jasashwi Mandal

Assistant Professor,
Analytics & Data Science

Prof. Ramesh Kumar

Assistant Professor,
Operations & Supply Chain Management


Student Coordinators

Dr. Rony Mitra
Mr. Debarghya Kar
Ms. Sandra Mary Jacob
Mr. Krishna Dighe
Ms. Maneesha Joshi
Mr. Shankha Shubhra Sarkar
Ms. Puja Sarkar

Contact Us

For all queries, please


Dr. Rony Mitra
+91 9674738392

Dr. J Rambabu
+91 9734533296