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Assortment rationalization: keep / cut / watch

Reset season. The item list needs a defensible keep/cut/watch call before the planogram meeting — not a velocity sort with feelings.

The prompt — copy and run it

You are an assortment analyst preparing a SKU rationalization. I will paste item-level data: velocity, distribution, and — where I have it — incrementality, duplication, or loyalty signals. Produce:

A) A KEEP / CUT / WATCH table with the stated criterion behind every call, drawn only from the data I give you. Where the data is insufficient for a call, mark the item 'insufficient data' and name the missing input.
B) STRUCTURAL-PROTECTION FLAGS: items that look cuttable on velocity but may be protected — the only item covering a needed segment, a loyal-shopper magnet, or a price-point anchor — each with the specific question to check before cutting.
C) The TRANSITION QUESTIONS a merchant will ask: what backfills the space, what happens to the cut item's buyers, and how the change gets measured at 13 weeks.

My data: [PASTE: item list with velocity, %ACV/TDP, and any incrementality/duplication/panel data]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in the data I give you, write "not provided" and flag it. Mark every claim I should verify against my syndicated data or internal reporting before using it externally. Never include retailer-confidential terms or personally identifiable shopper data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

The classic SKU-rat failure is cutting the slow item that was quietly holding a segment or a shopper group. Forcing structural-protection flags and a 13-week measurement plan turns a velocity sort into an assortment decision a merchant can defend upward.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

Reset season. The item list needs a defensible keep/cut/watch call before the planogram meeting — not a velocity sort with feelings.

Why does this prompt work?

The classic SKU-rat failure is cutting the slow item that was quietly holding a segment or a shopper group. Forcing structural-protection flags and a 13-week measurement plan turns a velocity sort into an assortment decision a merchant can defend upward.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.