AI for Supply Chain Project ManagementPublished 7/2026
Created by Ganesh Ravikumar
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 38 Lectures ( 3h 24m ) |
Size: 980.3 MB
Forecast demand, automate procurement, and predict disruption with AI - hands-on for project managers⚡ Build and evaluate AI demand forecasts, and read their error honestly instead of trusting a single number
⚡ Move procurement from manual to assisted and autonomous buying, with the human kept in the loop where it matters
⚡ Predict supply disruption and supplier risk early, and turn the signal into a project decision
⚡ Optimise inventory and logistics with AI models you can explain to a sceptical operations director
⚡ Score and segment suppliers on more than price using AI, and defend the ranking
⚡ Generate executive-ready status reports and demand-and-risk briefings from supply chain data with GenAI
⚡ Build five real automations: demand-and-risk briefing, reorder assistant, supplier watchlist, and AI status report
⚡ Judge where an AI forecast or recommendation is confidently wrong, and catch it before it ships
⚡ Understand the cost, data flows, and governance of AI in the supply chain, and the limits of 'autonomous'
⚡ Lead AI adoption across a supply chain team and prove its value with real before-and-after numbers
Requirements❗ Experience running supply chain, procurement, or operations work; no data-science or coding background needed
❗ A spreadsheet tool you are comfortable in (Excel or Google Sheets) to follow the forecasting walk-throughs
❗ Access to your own demand, inventory, or supplier data is helpful but not required - sample data is provided
❗ A real supply chain process of your own in mind - you'll automate part of it in the capstone
DescriptionThis course contains the use of artificial intelligence.
AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion.
Supply chains broke in public over the last few years, and every executive now wants the same thing: see problems earlier, buy smarter, and stop being surprised. AI is the tool they keep pointing at - and the project managers running supply chain initiatives are the ones expected to actually deliver it. This course is for them. It is built for supply chain managers, project and program managers, procurement leads, and planners who want to use AI on real work, not admire it in a slide deck. You will build demand forecasts that beat the spreadsheet you inherited, and learn to read their errors honestly instead of trusting a number. You will move procurement from manual purchase orders toward assisted and autonomous buying - and know exactly where to keep a human in the loop. You will predict disruption before it lands, score suppliers on more than price, and optimize inventory and logistics with models you can actually explain to a sceptical operations director.
Then you will build along: five practical automations you can take to your own supply chain - a weekly AI demand-and-risk briefing, an exception-based reorder assistant, a supplier-risk watchlist, and a GenAI status report that writes itself. The course is honest about the limits too - where a forecast is confidently wrong, what 'autonomous' procurement should never decide alone, what the tooling really costs, and where your demand and supplier data actually goes. Every technique comes with one global, dollar-based example and one India, rupee-based example, so the trade-offs feel real wherever your network sits. I have spent more than twenty years getting tools adopted in real operations - not demoed, adopted. Enroll now and make AI carry the forecasting and the busywork, so you can run the project.
Who this course is for⭐ Supply chain managers who want to apply AI to forecasting, procurement, and risk on real projects
⭐ Project and program managers running supply chain, procurement, or operations initiatives
⭐ Procurement and sourcing leads moving toward assisted or autonomous buying
⭐ Demand and supply planners who want better forecasts and earlier disruption signals
⭐ Operations leaders who must judge, fund, and govern AI in the supply chain
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