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Plan your year-end physical inventory count with AI

Turn your item list and warehouse layout into count sheets, a team plan and a variance review so the year-end count goes faster and adds up.

Estimated time saved

Estimated: several hours of count planning and variance review each year-end. (Estimate; results vary.)

Tools
  • ChatGPT
  • Claude
  • Microsoft Copilot in Excel
  • Your ERP or inventory system export (Epicor, NetSuite, QuickBooks, Fishbowl)

The problem

Most distributors and job shops do a full physical count at year end. It eats a weekend, counts get missed or doubled, and nobody has time afterward to dig into which differences really matter before the books close.

Step by step

  1. 1Export your item list with location, unit of measure, quantity on hand and unit cost from your ERP or inventory system.
  2. 2Paste a sample of the columns (not your whole price list) into the prompt below with your warehouse zones and the number of counters you have.
  3. 3Use the plan to print count sheets or tags by zone, assign two-person teams, and freeze receiving and shipping during the count.
  4. 4After counting, export counted vs. system quantities into Excel and ask Copilot or ChatGPT to rank variances by dollar value.
  5. 5Recount the biggest dollar differences, have your accountant review adjustments, then post them in your ERP.

Copy-paste prompt

Prompt
I run inventory for a [distributor / job shop] with about [number] SKUs in these zones: [list zones/aisles]. Counters available: [number] people for [hours]. Sample of my export columns: [paste a few rows: item, description, location, UOM, qty on hand, unit cost]. Write: (1) a count-day plan by zone with two-person teams, cutoff rules for receiving and shipping, and how to handle damaged or unlabeled items; (2) a count sheet layout I can build in Excel; (3) Excel formulas or steps to compare counted vs. system quantity and rank variances by dollar value; (4) a short checklist for recounts and sign-off before adjustments post. Keep it practical for a small team.

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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