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Executive Programme in AI for Supply Chain and Operations – Batch 04

Eligibility - Any Graduate
Learn from IIT Delhi Faculty
AI-Integrated Curriculum
Case Studies from Leading Organisations
Hands on Tools & Technologies
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Application Closure Date : 31st July, 2025

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Overview

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Programme Highlights

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Curriculum Structure

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Fee Structure

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  • Course Duration :

    6 months (125 Hours)

  • Course Fees :

    ₹ 1,20,000 + 18% GST

  • Mode

    Live Online

  • Course Eligibility :

    Any Graduate.

Executive Programme in AI for Supply Chain and Operations - Batch 04

(formerly known as Executive Management Programme in Supply Chain and Operations Analytics – Batch 03)

AI is reshaping how organisations forecast demand, manage inventory, design networks, source materials and respond to disruptions. 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, combines core supply chain principles with AI, analytics and optimisation to equip professionals to make informed operational and strategic decisions.

Spanning 10 modules, the programme covers forecasting, inventory management, logistics, sourcing, resilience, financial decision-making, sustainability and emerging technologies. Participants progressively explore the application of Generative AI, Agentic AI and analytics to real-world supply chain challenges, culminating in an applied capstone based on a realistic business scenario.

Programme Highlights


AI-Integrated Supply Chain Curriculum: Engage with a curriculum that combines supply chain strategy and operations with AI, analytics and optimisation across key business functions.
Generative & Agentic AI Applications: Examine how Generative and Agentic AI can support actionable insights and decision-making across supply chain environments.
Advanced Forecasting & Analytics: Apply forecasting, time-series analysis, predictive analytics and prescriptive approaches to planning and operational decisions.
Industry Case Study-Based Learning: Study supply chain and operations applications drawn from leading organisations across multiple industries.
Learn from IIT Delhi Faculty: Gain perspectives from IIT Delhi faculty across supply chain management, operations, analytics and technology-led decision-making.
Study from a Top-Ranked Institute: Learn with IIT Delhi, ranked #4 in Management by NIRF 2025 and #1 in Southern Asia in the QS World University Rankings: Southern Asia 2027.

Learning Outcomes

By the end of the programme, participants should be better positioned to:

Apply AI to Strategic Supply Chain Decisions

Use AI, analytics and operational data to support decisions across planning, sourcing, inventory, logistics and supply chain performance.

Strengthen Forecasting & Planning

Apply quantitative forecasting, predictive analytics and time-series methods to improve planning and responsiveness.

Improve Inventory & Network Decisions

Use analytical and optimisation approaches to support inventory planning, transportation and distribution network design.

Build More Resilient Supply Chains

Evaluate disruption risks and apply predictive and prescriptive approaches to strengthen resilience strategies.

Lead AI-Enabled Supply Chain Transformation

Assess the role of AI, IoT, blockchain and cognitive analytics in driving technology-enabled change across supply chain operations.

Take on Broader Strategic Responsibilities

Apply a cross-functional perspective to contribute more effectively to supply chain strategy, transformation, operational excellence and leadership-level decision-making.

WHO IS THIS PROGRAMME FOR?

01

Business Managers & Executives

02

Supply Chain & Operations Professionals

03

Consultants & Analysts

04

Entrepreneurs & Business Owners

05

Technical & Engineering Professionals

Programme Objectives

The programme is designed to:

01

Integrate AI with Core Supply Chain Thinking

Build an understanding of how Artificial Intelligence can complement established supply chain principles across strategy, planning, sourcing, logistics and operations.

02

Develop an Applied Perspective on Generative & Agentic AI

Enable participants to examine how Generative and Agentic AI can be used to generate insights and support decision-making in supply chain environments.

03

Strengthen Analytical Decision-Making

Provide exposure to quantitative, predictive and prescriptive approaches used across forecasting, inventory, network design, resilience and financial decisions.

04

Build Cross-Functional Supply Chain Perspective

Connect decisions across demand planning, inventory, procurement, logistics, finance, technology and sustainability to support a more integrated view of supply chain management.

05

Examine Technology-Led Supply Chain Transformation

Develop perspective on the role of AI, IoT, blockchain, cognitive analytics and intelligent decision-making in the evolution of supply chain and operations.

06

Apply Concepts to Contemporary Business Contexts

Use realistic datasets, case studies and practical exercises to connect programme concepts with current supply chain and operations challenges.

Curriculum Structure


Supply Chain Management and Strategy
  • 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
Generative & Agentic AI for Supply Chain Management
  • 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
AI-Powered Demand Forecasting and Planning
  • 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
Inventory Management Techniques
  • 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
Coordination and Anomalies in Supply Chains
  • 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
Transportation, Logistics and Network Design
  • 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
Sourcing and Procurement Strategies
  • 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)
Supply Chain Disruption and Resilience
  • 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
Financial and Costing Decisions
  • 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
Technology, Sustainability and Leadership
  • 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
Capstone. Applied Capstone Project
  • Group project applying AI tools to a real-world supply chain business case (e.g., an AI-driven demand forecast, network optimization model, or disruption risk dashboard)
  • Mentored by faculty throughout
  • Final presentation to an evaluation panel

Tools: All tools introduced across the programme (Excel, Python, R, Power BI, anyLogistix, CPLEX, Cursor, Generative/Agentic AI)
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.

AI Enhancement in Supply Chains & Operations.

Gen. & Agentic AI Application in Logistics & Analytics
Hands-on AI with SCM Data
AI for Forecasting & Risk
Logistics Excellence with AI
Real-world AI use cases in Capstone project

Experience Range

30% 30% 25% 15%
  • 1-6 Years
  • 6-10 Years
  • 10-15 Years
  • 15+ Years

Top Industries Represented

  • Information Technology & IT Services
  • Consulting & Professional Services
  • Manufacturing & Engineering
  • Aviation & Transportation
  • Energy & Power
  • Infrastructure & Construction
  • Consumer Goods & FMCG
  • Banking & Financial Services
  • Government & Public Sector
  • Sustainability & Development Organisations

Top Functions

  • Project Management
  • Engineering & Technical Operations
  • Consulting & Advisory
  • Sustainability & ESG
  • Operations & Supply Chain
  • Finance & Strategy
  • Business Development
  • Research & Policy

Professionals From Leading Organisations

Accenture
Adani Transmission
AG Polypacks
Airbnb
Air India
Angelique International
Applied Materials
Asian Paints
Aviasafe Aviation
Axis Bank
Barco Electronic Systems
Battery Smart
DB Schenker
ElasticRun
Flipkart
Google
ICICI Bank
Johnson & Johnson
Larsen & Toubro Defence
Power Mech Projects
Saint-Gobain
TeamLease
Turbo-Technologies
Virtusa
Walkaroo

Note: CEP, IIT Delhi does not offer placement or job guarantee in any form.

Fee Structure

Particulars Amount (₹)
Programme Fees ₹ 1,20,000
GST @ 18% ₹ 21,600
Total Fees ₹ 1,41,600
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.

Easy EMI options available.

Loan and EMI Options are services offered by Teamlease Edtech. IIT Delhi is not responsible for the same.

Withdrawl & Refund From Programme

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.

Easy EMI options available.

Loan and EMI Options are services offered by TeamLease EdTech. IIT Delhi is not responsible for the same.

If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.ac.in and cepdelhi@digivarsity.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.

Fee Schedule

Installment Installment Date Amount (₹)
I Due within 3 days from the offer ₹ 60,000+GST
II 06th March 2027 ₹ 60,000+GST
Total fees – 1,20,000+GST [No cost EMI available]
Note:

GST @ 18% will be charged extra in addition to the fee.

Loan and EMI Options are services offered by TeamLease EdTech. IIT Delhi is not responsible for the same.

Campus Immersion Highlights

Campus Immersion 12
Campus Immersion 12
Campus Immersion 12
Campus Immersion 12
Campus Immersion 12
Campus Immersion 12
Campus Immersion 12
Campus Immersion 12
Campus Immersion 18
Campus Immersion 3
Campus Immersion 9
Campus Immersion 21
Campus Immersion 20
Campus Immersion 4
Campus Immersion 6
Campus Immersion 17
Campus Immersion 13
Campus Immersion 2
Campus Immersion 19
Campus Immersion 16
Campus Immersion 16
Campus Immersion 16
Campus Immersion 16
Campus Immersion 16
Campus Immersion 16

Hear from Prof. Gaurav Dwivedi

Logistics Conclave & Learner Testimonials

Programme Certificate

Certificate of Completion

Mba International Business

Certificate of Participation

Mba International Business
  • Candidates who score at least 60% marks overall and have a minimum attendance of 50%, will receive a ‘Certificate of Completion’.
  • Candidates who have a minimum attendance of 50% will receive a ‘Certificate of Participation’.
  • 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.

Programme Coordinator

 DR. GOURAV DWIVEDI
Associate Professor
DEPARTMENT OF MANAGEMENT STUDIES,
IIT 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 organizations 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 programs, 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.

SUPPLY CHAIN MANAGEMENT
STRATEGY, PLANNING, AND OPERATION
8th Edition by Pearson (Pearson Education,
Sunil Chopra, Dharam Vir Kalra, Gourav Dwivedi)

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, optimisation 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 organisations 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.
Verify program validity on IIT Delhi CEP

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Call : 9240205277 Or Email : cepdelhi@digivarsity.com