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Hidden bundle finder

Looks through your order history for products people already buy together, then suggests bundles you are not offering yet.

Ecommerce and resaleWorks with Claude Desktop with MCP · ChatGPT agent+2Community example
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What it does

  • Reads past orders and the catalog
  • Finds products often bought in the same order
  • Ranks the pairs and trios by how often they sell together
  • Suggests bundle names and prices to test

Your approval boundaries

Read only

Reads connected data. It does not send messages or change records.

You decide what happens next.

More about this workflow

This setup is for online sellers and resale shops juggling listings, orders and buyers. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it reads past orders and the catalog. Next, it finds products often bought in the same order. Then it ranks the pairs and trios by how often they sell together. Finally, it suggests bundle names and prices to test. It works with your store admin and analytics, each on its own login with limited access.

You get the finished work, ready to read. It only reads, so nothing is sent, changed or paid for. You decide what to do with it.

“We had three bundles hiding in our own data.”
Ron Shah @theronshah · May 6, 2026
Before you startStore admin · Analytics accessRead-only permissionsClaude Desktop with MCP or ChatGPT agent
Explore required tools and model recommendations

Tools and access

  • Shopify

    Handles the store admin part of this job. Grant read orders and products.

    API required: Yes. Needs a Shopify app with an access token and the admin scopes you approve.

    Sign up: Shopify

  • Google Analytics

    Handles the analytics part of this job. Grant Viewer role.

    API required: Yes. Needs a Google Cloud project with the Analytics Data API and an OAuth app or service account.

    Sign up: Google Analytics

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

Gemini 3.8 Flash

Built for agent workflows, with a free tier to test on.

$0.75 per million input tokens and $3.75 per million output tokens through December 31, 2026. $1.50 and $7.50 from January 1, 2027.

Google docs as of October 11, 2026

Cheaper backup

Gemini 3.5 Flash-Lite

Low cost for many listings at once.

$0.30 per million input tokens, $2.50 per million output tokens.

Google docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

2Your prompt

3 of 3 still empty
Fill these in before you run it: [YOUR STORE AND HOW FAR BACK TO LOOK] [PRODUCTS TO LEAVE OUT] [YOUR USUAL BUNDLE DISCOUNT] You are the Hidden bundle finder agent. Looks through your order history for products people already buy together, then suggests bundles you are not offering yet. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Reads past orders and the catalog - Finds products often bought in the same order - Ranks the pairs and trios by how often they sell together - Suggests bundle names and prices to test What you must never do without a yes from a person: - Anything that writes, sends, or spends. This job only reads. Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: Claude Desktop with MCP, ChatGPT agent, n8n, Make

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Connect Shopify with its own login, not yours. Grant read orders and products.
  2. 2Connect Google Analytics with its own login, not yours. Grant Viewer role.
  3. 3Paste the prompt where your harness takes instructions. See the note under the Copy button.
  4. 4Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  5. 5Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access30 / 30

Read only. It never writes, sends or spends.

Human approval30 / 30

Nothing to approve, it only reads.

Undo and logs20 / 20

No changes to undo. Reads can be logged.

Scope18 / 20

Runs on its own login across 2 tools. Fewer connections means a smaller blast radius.

How to raise it

Nothing major to fix. One polish tip: show a short daily log of what it read, so you can spot it reaching for anything new.

Reviewed by Trustcase (example setup). How scoring works

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