Executive Programme in AI for Supply Chain & Operations ( formally know as Executive Management Programme in Supply chain and Operations Analytics (Batch-4))
Features
Programme Overview
Supply chains are becoming more connected, data-driven and increasingly influenced by Artificial Intelligence. The Executive Programme in AI for Supply Chain and Operations – Batch 04, formerly known as the Executive Management Programme in Supply Chain and Operations Analytics – Batch 03, is designed to help professionals integrate AI with core supply chain principles to address contemporary challenges in planning, forecasting, inventory management, logistics, sourcing and operational decision-making.
The programme combines established supply chain frameworks with Generative AI, Agentic AI, predictive and prescriptive analytics, optimization and intelligent decision-making. Participants work with realistic supply chain datasets, explore practical AI applications and analyses business cases across industries, culminating in an applied capstone project.
₹ 1,20,000 + 18 % GST
Class Schedule
Sundays: 09:30 am - 12:30 pm Sundays
Eligibility Criteria
Any Graduates
Programme Highlights
AI-Integrated Supply Chain Curriculum: Develop An Integrated Perspective On Supply Chain Strategy, Forecasting, Inventory, Logistics, Sourcing, Resilience And Financial Decisions While Applying AI And Analytics Across These Functions.
Generative & Agentic AI For Supply Chains: Work With Generative And Agentic AI Applications Designed To Generate Actionable Supply Chain Insights And Support Data-driven Decision-making.
AI-Powered Forecasting & Planning: Apply Quantitative Forecasting, Predictive Analytics And Time-series Techniques To Demand Planning And Operational Decision-making.
Predictive & Prescriptive Decision-Making: Use Analytics And Optimisation Approaches Across Inventory, Network Design, Disruption Management, Sourcing And Financial Decisions.
Learn Through Industry Case Studies: Examine How Organisations Across E-commerce, FMCG, Logistics, Automotive, Aviation, Manufacturing And Other Sectors Have Approached Contemporary Supply Chain Challenges Using AI And Analytics.
Hands-On Exposure To Analytical & AI Tools: Gain Exposure To Tools Including Python, R, Power BI, Advanced Excel With Solver, CPLEX, Any Logistix, Cursor And Generative/Agentic AI Platforms.
Applied AI Capstone Project: Bring Together Programme Concepts In A Group Project Addressing A Real-world Supply Chain Business Case Using AI And Analytical Tools.
Programme Modules
Overview of Principles
Strategic Frameworks
Aligning Strategy with Goals
Supply Chain Drivers and Metrics
Measuring Performance
Case Study: Amazon’s AI-driven supply chain strategy alignment across fulfillment networks
Tools: Power BI (AI visuals), Cursor
AI tools for actionable supply chain insights
Practical AI lab sessions with realistic SCM datasets
AI-driven assignment and capstone groundwork
Case Study: Walmart’s use of generative AI copilots for supplier and inventory queries
Tools: Python, Cursor, Generative/Agentic AI platforms
Quantitative Forecasting Techniques
Forecasting Applications
Aggregate Planning
Predictive Analytics
Time Series Analysis
Case Study: Unilever’s AI-based demand forecasting for FMCG replenishment
Tools: Python, R, Power BI
Long Life Cycle Products
Trade Promotions
Uncertainty and Stochastic Demand
Short Life Cycle Products
Descriptive and Prescriptive Analytics
Case Study: Zara’s inventory analytics for fast-fashion short life-cycle products
Tools: Advanced Excel with Solver, Python, CPLEX
Channel Coordination Contracts
Bullwhip Effect
Double Marginalization
Beer Game Simulation
Identifying Anomalies
Case Study: P&G’s channel coordination initiatives to dampen bullwhip effects
Tools: Python (anomaly detection libraries), Power BI
Logistics Operations Management
Transportation Network Modes & Vehicle Routing Decisions
Designing Distribution Networks
Network Design Frameworks (incl. Uncertain Environment Design)
Predictive and Prescriptive Analytics Optimization
Case Study: DHL/DB Schenker’s AI-enabled logistics network redesign
Tools: anyLogistix, CPLEX, Python
Supplier Selection
Make vs Buy Decisions
Optimal Procurement Policies
Global Sourcing
Negotiation Strategies
Case Study: Flipkart’s AI-driven vendor selection and sourcing optimization
Tools: Power BI, Python, Generative AI (negotiation simulation)
Understanding Disruptions
Managing Disruptions
Enhancing Resilience
Building Resilience in Design
Predictive and Prescriptive Analytics
Case Study: Toyota’s resilience response to chip-supply disruptions using predictive analytics
Tools: Python, R, CPLEX
Costing Decisions
Pricing Analytics
Revenue Management
Descriptive Analytics
Cost Analysis
Case Study: Air India’s AI-based revenue management practices
Tools: Advanced Excel with Solver, Power BI, Python
Digital Transformation
Emerging Technologies (AI, IoT, Blockchain Implementation)
Cognitive Analytics & Intelligent Decision-Making
Sustainable Supply Chains & Environmental Impact Assessment
Ethical Sourcing
Leadership Principles & Stakeholder Management
Case Study: Saint-Gobain’s AI-supported sustainability and ethical sourcing programme
Tools: Cursor, Python, Power BI
The programme culminates in an applied group capstone that enables participants to bring together supply chain fundamentals, analytics and AI to address a realistic business challenge.
Participants may work on areas such as:
AI-Driven Demand Forecasting
Supply Chain Network Optimisation
Disruption Risk Analysis
Supply Chain Decision Dashboards
The project will be faculty-mentored and conclude with a final presentation to an evaluation panel. Participants may draw upon the full range of tools introduced during the programme.
Note: The list of tools and topics are indicative and may be modified at the discretion of the Programme Coordinator to meet the programme requirements.
Learning Outcomes
Make Smarter, AI-Enabled Supply Chain Decisions
Use AI, analytics and operational data to support faster, more informed decisions across planning, sourcing, inventory, logistics and supply chain performance.
Improve Forecasting, Planning & Operational Responsiveness
Apply forecasting and predictive techniques to strengthen demand planning, anticipate variability and respond more effectively to changing business conditions.
Strengthen Supply Chain Resilience
Assess disruption risks, identify vulnerabilities and use predictive and prescriptive approaches to support more resilient supply chain strategies.
Lead AI-Enabled Supply Chain Transformation
Contribute to or lead technology-led transformation initiatives by evaluating where AI, IoT, blockchain and intelligent decision-making can create business value.
Turn Data into Actionable Business Insights
Translate supply chain data into insights that can support management discussions, performance reviews, investment decisions and operational priorities.
Take on Broader Strategic & Leadership Responsibilities
Build the perspective needed to move beyond functional execution and contribute to supply chain strategy, transformation, operational excellence and business leadership roles.
Tools
Python
Excel
Any Logistix
CPLEX
CURSOR
Power BI
R Language
Programme Coordinator
Professor Gourav Dwivedi
Associate Professor
Department of Management Studies
Indian Institute of Technology Delhi
Prof. Gourav Dwivedi is a faculty of Operations & Supply Chain Management at the Indian Institute of Technology Delhi. With over a decade of experience spanning both academia and industry, Prof. Dwivedi brings a unique blend of theoretical knowledge and practical insights to the classroom. His expertise covers a wide range of critical areas in supply chain management, including distributed manufacturing, logistics modelling, Industry 4.0 technologies, behavioural operations, and business sustainability. Prof. Dwivedi actively collaborates with industry partners and government organization's on projects that have a tangible impact on operational efficiency, sustainability, and social development.
As an educator, Prof. Dwivedi is deeply committed to nurturing the next generation of supply chain leaders. He has designed and delivered numerous executive education programmes, workshops, and courses, covering topics such as supply chain management, analytics, project management, and entrepreneurship development. His teaching is characterized by a focus on practical applications and real-world case studies, ensuring that participants gain the skills and knowledge they need to excel in their careers. He has published his research in leading international journals and presented at international conferences. He is also the co-author of the Indian subcontinent adaptation of “Supply Chain Management: Strategy, Planning, and Operation,” a leading SCM textbook globally.
Programme Sample Certificate
Participation Certificate
Candidates with a minimum attendance of 50% will be awarded a Certificate of Participation.
Successful Completion Certificate
Candidates who score at least 60% overall and maintain an attendance of 50% will be awarded a Certificate of Completion.
The organising department for this programme is the Department of Management Studies, IIT Delhi.
*Only e-Certificates will be issued by CEP, IIT Delhi for this programme.
Installment Schedule
Programme Fees: 1,20,000 + 18 % GST
Installment | Installment Date | Amount (₹) |
I | Within 3 Days of the offer letter. | ₹ 60,000+GST |
II | 6th March, 2027. | ₹ 60,000+GST |
Note:
*All fees should be submitted in the IITD CEP account only, and the details will be shared post-selection.
*The receipt will be issued by the IIT Delhi CEP Account for your records, which can be downloaded from the CEP Portal.
*GST @ 18% will be charged extra in addition to the fee.
Refund Policy
Candidates can withdraw within 15 days from the programme start date. A total of 80% of the total fee received will be refunded. However, the applicable tax amount paid will not be refunded on the paid amount.
Candidates withdrawing after 15 days from the start of the programme session will not be eligible for any refund.
If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.ac.in and cepdelhi@digiversity.com, stating your intent to withdraw. The refund, if applicable, will be processed within 30 working days from the date of receiving the withdrawal request.
Frequently asked questions
The 6-month Executive Programme in AI for Supply Chain and Operations – Batch 04, formerly known as the Executive Management Programme in Supply Chain and Operations Analytics – Batch 03, combines core supply chain concepts with AI, analytics and optimisation. It covers forecasting, inventory management, logistics, sourcing, resilience and decision-making, with a focus on applying Generative AI, Agentic AI and analytics to real-world supply chain challenges.
It is designed for business managers, executives, consultants, analysts, entrepreneurs, business owners and technical or engineering professionals working with supply chain and operations.
AI is applied across multiple modules through Generative AI, Agentic AI, predictive analytics, optimization and intelligent decision-making.
Participants are introduced to tools such as Python, R, Power BI, Advanced Excel with Solver, CPLEX, anyLogistix, Cursor and Generative/Agentic AI platforms.
Yes. The curriculum includes case studies featuring organizations such as Amazon, Walmart, Unilever, Zara, P&G, Flipkart, Toyota, Air India and Saint-Gobain.
The programme runs for 6 months and includes 125 hours of learning across 10 modules and an applied capstone.
The curriculum spans strategy, demand forecasting, inventory, logistics, network design, procurement, resilience, financial decisions, sustainability and technology-led transformation.