ThinkWithPrompt by SynotticThinkWithPrompt

Chase a late supplier order and get a committed delivery date

A firm expedite email that gets a confirmed ship date, recovery plan, and escalation path without damaging the relationship.

Email & Workplace CommunicationFew-ShotStandardEmailWriteFill-in Template

The prompt

Write an expedite email to a supplier whose order is late. Supplier contact and relationship: [NAME, ROLE, HOW LONG WE'VE WORKED TOGETHER] PO and items: [PO NUMBER, LINE ITEMS, QUANTITIES] Original promised date: [DATE] Current status as I know it: [e.g. "no update for 8 days", "partial shipment received"] Why it matters to us: [e.g. "production line stops on May 14", "customer order at risk"] What I can accept: [partial shipment / split delivery / expedited freight at their cost / alternate part] Previous chases: [DATES AND WHAT WAS SAID] Tone: [collaborative / firm / final escalation] Requirements: - Open with the PO and the date we need, in bold. - Ask for specific answers, not a general update: confirmed ship date, quantity per shipment, tracking or booking reference, and the cause of the delay. - Offer the options I can accept so they can solve it quickly. - Set a reply deadline in bold. - If this is a repeat chase, reference the earlier commitments factually and name the next escalation step (e.g. copying their sales director). - Under 170 words. No threats I haven't listed. Return: 1. Two subject lines that include the PO number. 2. The email. 3. A shorter follow-up for 48 hours later if there is no reply. 4. A 3-line internal update I can send to my planner or sales team on the status.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • NAME, ROLE, HOW LONG WE'VE WORKED TOGETHER
  • PO NUMBER, LINE ITEMS, QUANTITIES
  • DATE
  • e.g. "no update for 8 days", "partial shipment received"
  • DATES AND WHAT WAS SAID
  • collaborative / firm / final escalation

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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