Course Description
This micro-course shows how AI can streamline agricultural supply chains end-to-end—from demand and supply forecasting to routing, cold-chain monitoring, and real-time visibility. You’ll learn practical approaches to cut post-harvest losses, reduce logistics costs, and improve service levels using accessible tools and proven patterns.
Who Should Take This Course
Ideal for operations and supply chain managers, logistics coordinators, procurement and quality leads, agribusiness analysts, and consultants supporting farms, co-ops, food processors, and distributors. Suitable for beginners and non-technical stakeholders who want actionable AI outcomes fast.
Prerequisites
No prior experience needed. Familiarity with basic supply chain concepts and spreadsheets (Excel/Sheets) is helpful but not required.
What You Will Learn
- Identify high-impact AI use cases across forecasting, routing, cold-chain monitoring, and visibility.
- Outline a practical demand/supply forecasting approach using signals like weather, historical sales, and market data.
- Design a route optimisation and cold-chain alert workflow to maintain product quality and reduce spoilage.
- Apply AI-driven methods to minimise post-harvest losses from storage to last-mile delivery.
- Sketch a lightweight real-time dashboard for inventory, ETAs, and exception management.
- Create a pilot action plan with a data readiness checklist, vendor evaluation criteria, and success metrics.