Spend less time chasing spreadsheets and more time keeping goods moving.
Get the Supply Chain briefAI 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.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
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.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.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.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.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.One AI tool, one prompt, and one trick for Supply Chains, every weekday morning. Free.