This hands-on course shows beginner-level supply chain and logistics professionals how to apply general-purpose AI tools such as ChatGPT, Claude, Microsoft Copilot, and Excel to real day-to-day workflows. You will learn, in plain language, how these tools work, what data they can and cannot see, and where they create the most value across planning, procurement, logistics, and reporting. You will also set up a simple AI-enabled workspace with files, chat windows, scratchpads, and a reusable prompt library so that you can systematically get accurate, spreadsheet-friendly results.

Through realistic, data-driven exercises, you will practise using AI to analyse 12 months of sales and dispatch data, separate trend and seasonality from stockouts, and build short-term demand forecasts with clear, defensible assumptions for Sales and Finance stakeholders. You will use AI to assess SKU-level inventory health, classify stock into risk buckets, quantify money at risk, and generate draft reorder sheets and PO recommendations that respect lead times and MOQs. You will also support procurement by creating concise approval notes, signable PO sheets, and structured RFQs and vendor comparison tables. Finally, you will use AI and spreadsheet tools to evaluate supplier and carrier performance, build multi-metric scorecards with adjustable weightings, and draft grounded vendor and carrier communications. You will analyse freight spend across modes, lanes, and months to quantify avoidable costs and craft one-page review memos and leadership summaries. You will also learn to transform messy delivery data into clean exception logs and claims registers, triage open issues, and generate accurate customer communications for delays and credits. The course concludes with applying AI to risk management and reporting by building a concise risk register, drafting disruption and contingency plans, and producing decision-first monthly performance reports and executive-ready presentations.