AI for your role

AI for Supply Chains

Spend less time chasing spreadsheets and more time keeping goods moving.

Get the Supply Chain brief
The shift

How AI is changing the Supply Chain role

AI now handles a lot of the repetitive parts of supply chain work, like cleaning shipment data, drafting supplier emails, and flagging demand changes before they become stockouts. It can summarize long supplier contracts, compare freight quotes, and spot patterns in lead-time delays across hundreds of POs. The result is faster decisions on inventory, sourcing, and logistics with less manual data wrangling.

What AI can take off your plate

  • Cleaning and reformatting shipment and inventory exports
  • Drafting routine supplier and carrier emails
  • Summarizing long contracts, RFPs, and compliance documents
  • Building first-pass reports on fill rate, on-time delivery, and lead times
  • Comparing freight and supplier quotes side by side

What stays distinctly human

  • Negotiating prices and terms with suppliers
  • Deciding which supplier to trust during a shortage
  • Building long-term relationships with vendors and carriers
  • Making the final call on safety stock and risk tradeoffs
  • Reading the room in cross-team meetings and managing escalations
Tools

Five AI tools for Supply Chains

ChatGPT
A Supply Chain manager uses it to draft supplier follow-up emails, summarize contract terms, and explain unfamiliar Incoterms or customs rules in plain language.
Microsoft Copilot in Excel
It builds formulas, pivot tables, and trend summaries from raw demand and inventory exports so analysts can answer questions without writing complex functions.
Claude
It reads long RFPs, supplier scorecards, and compliance documents and pulls out key dates, penalties, and risk clauses into a short brief.
Perplexity
A buyer uses it to research alternate suppliers, current commodity prices, and port or weather disruptions with sources cited for verification.
Power BI Copilot
It turns plain questions about on-time delivery, fill rate, and carrier performance into charts and dashboards without manual report building.
Prompts

Five prompts to try today

Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.

1. Stockout risk check
Here is my inventory and sales data: [PASTE DATA]. For each SKU, calculate weeks of supply remaining based on average weekly sales, and list the items likely to stock out within [NUMBER] weeks. Show your assumptions.
2. Supplier email draft
Write a firm but professional email to supplier [NAME] about PO [NUMBER]. The shipment is [NUMBER] days late and affects our production on [DATE]. Ask for a revised ship date, root cause, and a recovery plan. Keep it under 150 words.
3. Freight quote comparison
Compare these freight quotes: [PASTE QUOTES]. Build a table with carrier, cost, transit time, and any surcharges or exclusions. Recommend the best option for [shipping priority: cost / speed / reliability] and explain why.
4. Contract risk summary
Summarize this supplier contract: [PASTE TEXT]. List payment terms, lead times, minimum order quantities, penalty clauses, termination conditions, and anything that creates risk for us. Flag missing protections.
5. Demand variance explainer
Here is forecast vs actual demand for [PRODUCT] over [TIME PERIOD]: [PASTE DATA]. Identify the weeks with the largest variance, suggest likely causes, and recommend a forecast adjustment for next period.

A day in your inbox

This is the kind of brief a Supply Chain gets, every weekday morning.
Weekday morning
✦ Personalized for: Supply Chain
Today's Tool
Spot a late shipment before it stops the line
Use Power BI Copilot to ask which inbound POs are tracking behind their committed delivery date this week. It pulls the data and ranks them by impact on production schedules.
Today's Prompt
Turn the delay into an action plan
Paste the flagged POs into Claude and ask: For each late PO, draft a short recovery note covering expedite options, alternate suppliers, and the production date at risk.
Today's Trick
Always ask it to show assumptions
When AI calculates weeks of supply or stockout risk, tell it to list the assumptions it used. That makes it easy to catch a wrong sales average or missing lead time before you act on it.

Get the Supply Chain brief

One AI tool, one prompt, and one trick for Supply Chains, every weekday morning. Free.

You are in. Your first brief arrives the next weekday morning.
Free forever. Unsubscribe anytime. We use your role only to personalize your brief.