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AI in Supply Chain: Demand Forecasting, Inventory, Logistics
New
100 students
AI in Supply Chain: Demand Forecasting, Inventory, Logistics
Master AI tools for supply chain — real-world use cases, hands-on demos, and career-ready skills for operations
Created byGanesh Ravikumar
Last updated 6/2026
English
What you'll learn
- Apply AI and ML to core supply chain functions including forecasting, inventory, and logistics
- Evaluate and select the right AI tools for your supply chain use case
- Build a practical AI implementation roadmap for your organization
- Analyze supplier risk, optimize procurement spend, and use contract intelligence tools
- Understand warehouse automation, computer vision, and WMS-AI integration
- Prepare confidently for AI-related interviews in the supply chain domain
Explore related topics
Course content
8 sections • 39 lectures • 4h 24m total length
Requirements
- Basic understanding of supply chain concepts (procurement, logistics, inventory, warehousing)
- No coding or data science background needed
- Curiosity about AI and openness to see it through a business lens
- Access to a laptop or desktop with internet connection
Description
This course contains the use of artificial intelligence.
AI tools were used only to rephrase and fix grammar in the course description and supporting text.
Are you working in supply chain, logistics, procurement, or operations — and wondering how AI is going to change your job? You are in the right place.
This course is NOT just theory. Every concept here is backed by real examples from industries like FMCG, automotive, e-commerce, and manufacturing. We talk about how companies like Amazon, Flipkart, Tata, and Mahindra are using AI today — and how you can apply the same thinking in your organization.
What makes this course different?
• You already know supply chain — we build on that foundation, not from scratch
• We use simple language and Indian business context wherever possible
• No heavy coding required — we focus on understanding and applying AI tools
• Every section ends with a real-world case study that connects theory to practice
• You get interview-ready by the end — with 30+ Q&A, quizzes, and two capstone projects
What you will learn:
• How AI and Machine Learning work in the context of supply chain
• AI-powered demand forecasting — and why traditional methods keep failing
• Inventory optimization using reinforcement learning and predictive analytics
• Procurement intelligence — from smart sourcing to contract risk scoring
• Route optimization, last-mile delivery AI, and freight cost prediction
• Warehouse automation — computer vision, robotic process automation, WMS + AI
• Supply chain risk detection, disruption prediction, and scenario simulation
• How to build an AI implementation roadmap for your own organization
Who is this for?
• Supply chain professionals, operations managers, and procurement analysts
• Logistics executives looking to understand and adopt AI tools
• MBA students and management consultants in the SCM domain
• Anyone preparing for AI-related roles in manufacturing, retail, or e-commerce
By the end of this course, you will be able to evaluate AI tools for your team, speak confidently in AI-related business discussions, and design a practical AI roadmap for your supply chain.
Let us get started!
Who this course is for:
- Supply chain professionals, operations managers, and procurement analysts
- Logistics executives looking to understand and adopt AI tools
- MBA students and management consultants in the SCM domain
- Anyone preparing for AI-related roles in manufacturing, retail, or e-commerce