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AI agent for category managers

Private Label Opportunity Agent

Find private label candidates from sales data, test margin and sourcing with quotes, and build a shortlist

DecisionsSalesManagement
See how it worksGet access
Private Label Opportunity Agent: what goes in, what the agent does and what you get

What it does

Private label items chosen by hunch can fail on the shelf. The agent finds high-volume items with weak brand loyalty, such as many substitutes and frequent promotion switching. It estimates margin and sourcing cost for an own-brand version and lists possible suppliers. It then drafts quote requests and checks the returned quotes against the margin target and quality standards. If a quote is too high, it tests alternatives, such as another supplier or pack size. It proposes a ranked shortlist with the data. The manager approves the shortlist and any quote request. Edge case: a top-selling item has strong brand loyalty, so the agent drops it from the list.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueYes, continueApprovedNoNo 1 STARTS WHEN Category review begins 2 USES A TOOL Pull sales volume, share and switching data 3 DOES Score items by volume and brand loyalty 4 DOES Estimate margin from a target cost 5 YOU APPROVE Manager approves sending quote requests 6 USES A TOOL Collect supplier quotes and quality information 7 CHECKS THE RESULT Does each quote meet cost and quality standards? If not: Request another quote or change thespecification. Back to step 4. 8 DOES Recompute margin from real quotes 9 CHECKS THE RESULT Is margin above target for each candidate? If not: Test other suppliers or sizes, or drop thecandidate. Back to step 3. 10 YOU APPROVE Manager approves the shortlist 11 RESULT Private label shortlist with evidence
Read the steps as a list
  1. Category review begins
  2. Pull sales volume, share and switching data
  3. Score items by volume and brand loyalty
  4. Estimate margin from a target cost
  5. Manager approves sending quote requestsThe agent waits here for your OK.
  6. Collect supplier quotes and quality information
  7. Does each quote meet cost and quality standards?If not: Request another quote or change the specification. Back to step 4.
  8. Recompute margin from real quotes
  9. Is margin above target for each candidate?If not: Test other suppliers or sizes, or drop the candidate. Back to step 3.
  10. Manager approves the shortlistThe agent waits here for your OK.
  11. Private label shortlist with evidence

How it decides

A candidate must have volume, weak brand loyalty and a margin above target after real quotes.

  • Target gross margin 8 points above the brand item
  • Require at least 3 substitutes in the category
  • Drop items with strong repeat loyalty
  • Reject quotes without quality documents

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Margin target
  • Loyalty signals used
  • Category list
  • Review timing

What keeps you in control

It always asks you first

  • Manager approves quote requests
  • Manager approves the shortlist

Hard limits

  • Never send a quote request without approval
  • Never state a quality claim without supplier documents

It stops when

  • Done: shortlist approved
  • Stop: no candidate meets margin after the quote rounds

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensCanned tomatoes sold 18,000 units a month with 5 close substitutes. The agent estimated a 12-point margin gain. The first quote of $0.62 per can gave only 5 points. It asked a second supplier and got $0.55. The recheck showed a 9-point gain, over target. The item ranked second on the shortlist.

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