Your cart is empty.
Keep shoppingApplied Sustainable Supply Chains with AI
New
19 students
Applied Sustainable Supply Chains with AI
Measure carbon footprints, score suppliers, forecast and optimise, and report — hands-on, with AI as your co-pilot.
Created bySkillmint ., Skillmint .
Last updated 7/2026
English
What you'll learn
- Calculate a product or company carbon footprint across Scopes 1, 2 & 3 using the activity-data × emission-factor method
- Find emission hotspots and prioritise reduction actions by impact and feasibility (the 80/20 rule)
- Build weighted supplier sustainability scorecards and screen a whole supplier base for risk using AI
- Apply machine-learning concepts to forecast demand and optimise inventory and logistics — cutting waste, emissions and cost
- Use life-cycle assessment (LCA) and circular-economy principles to evaluate and improve material choices
- Clean messy sustainability data, build an emissions dashboard, and visualise the KPIs that matter
- Draft credible, framework-aligned sustainability reports (GRI, CDP, CSRD) with AI — while avoiding greenwashing
- Complete a capstone project: a full supplier footprint, scorecard and prioritized improvement plan
Explore related topics
Course content
7 sections • 27 lectures • 1h 8m total length
Requirements
- A basic understanding of sustainability and supply chains — our beginner course “Sustainable Supply Chain Foundations,” or equivalent knowledge/experience
- Comfort with basic spreadsheets (entering data, simple formulas). No advanced maths required
- No programming or prior AI/ML experience needed — machine-learning concepts are taught without equations
Description
Disclaimer: This course contains the use of artificial intelligence.
Ready to move from understanding sustainability to actually doing the work? This intermediate course turns you into a hands-on sustainable supply chain practitioner — someone who can measure a carbon footprint, assess suppliers, cut waste with data, and report credibly — all accelerated by AI.
We pick up where the foundations leave off and get practical fast. You'll master the master formula of carbon accounting (activity data × emission factor), calculate a full Scope 1, 2 and 3 footprint, and learn to find the hotspots where most impact hides. You'll build weighted supplier scorecards, and use AI to screen an entire supplier base for environmental, labour and financial risk in seconds.
From there we look forward: you'll see how machine learning forecasts demand and optimises inventory and logistics — cutting emissions and cost together — and how prediction designs waste out before it happens. You'll apply circular-economy thinking and life-cycle assessment (LCA) to material choices, then get hands-on with dashboards, AI-powered data cleaning, and the right KPIs and charts.
Finally, you'll learn the major reporting frameworks (GRI, CDP, CSRD/ESRS, TCFD), draft credible reports with AI while steering clear of greenwashing, and complete a portfolio-worthy capstone: a full supplier footprint, scorecard and improvement plan.
Every technique is taught with plain-English explanations, worked examples, and clear AI workflows — no heavy maths, no coding. You bring the judgement; AI does the heavy lifting. By the end, you'll have the practical, in-demand skill set of a sustainability analyst — and a project to prove it.
Who this course is for:
- Supply chain, procurement and operations analysts who want to add carbon accounting and practical AI skills
- Sustainability and ESG coordinators moving from awareness into hands-on measurement, analysis and reporting
- Graduates of a beginner/foundations sustainability course who are ready to go hands-on and build real deliverables
- Data-literate professionals and career changers who want practical, AI-assisted sustainability workflows they can use at work
- Data-literate professionals and career changers who want practical, AI-assisted sustainability workflows they can use at work