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Write your January price increase letter with AI

Turn your new prices and the reasons behind them into a clear, respectful customer letter and talking points for your sales team.

Estimated time saved

Estimated: 2–4 hours of writing, plus fewer surprised customers and lost accounts. (Estimate; results vary.)

Tools
  • ChatGPT
  • Claude
  • Microsoft Copilot
  • Your price list in Excel or Google Sheets
  • Your email tool or CRM

The problem

Many distributors raise prices on January 1, but the notice often goes out late or as a bare price sheet. Customers feel blindsided, sales reps get the same angry calls, and some accounts start shopping around.

Step by step

  1. 1Confirm the new prices, the effective date and how many days of notice your customer contracts require with your owner or pricing manager.
  2. 2List the real reasons, such as supplier increases, freight or labor, and anything you're doing to help, like price holds on open quotes or a last-buy window at old prices.
  3. 3Paste those details (no customer names or margins) into the prompt below to get a customer letter, a short email version and talking points for reps.
  4. 4Have your sales manager check every number and promise, and make sure contract customers get the notice their agreement requires.
  5. 5Send it 30 to 60 days ahead, and have reps call your biggest accounts before the letter lands.

Copy-paste prompt

Prompt
I work at a [type of distributor, e.g., industrial supply / building materials] in [city]. New prices take effect [date]. Average increase: [percent or range, by product line if different]. Reasons: [e.g., supplier increases of X%, freight, labor]. What we're doing to help: [e.g., honoring quotes through date, last-buy window at current prices until date]. Write: (1) a one-page customer letter that is clear, respectful and not apologetic; (2) a short email version with [CONTACT NAME] as a placeholder; (3) five talking points and answers to common pushback for our sales reps. Use only the numbers and dates I give, and don't blame specific suppliers by name.

Review AI output before using it. Don’t paste confidential, customer or patient data into tools your company hasn’t approved.

Free · 5 minutes

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