3 AI agents every store owner can run with Claude
Most store owners are already sitting on the data they need to make better decisions.
The problem is finding the time to analyze it every day.
Here are three practical AI agents you can create with Claude to monitor profitability, recover lost revenue, and improve your product feed.
Copy the prompts, paste them into Claude, and adjust them to your store.
Before you start
Create a separate Claude Project for each agent
This helps Claude retain the relevant store context, instructions, and files between sessions.
1. Use real store data
Export CSV files from your advertising platforms, store backend, payment provider, and Merchant Center.
The quality of the output depends on the quality of the input.
2. Define approval rules
Tell Claude what it can recommend, what it can change, and what requires your approval.
3. Run each workflow consistently
Review the same reports at the same time every day. Consistency turns a one-time prompt into a repeatable operating system.
Agent 1: Margin Guard
Upload daily:
Google and Meta ad spend exports, order data with SKU-level revenue, COGS, shipping costs, and refunds.
Prompt:
You are my Margin Guard agent.
Every day, I will upload my advertising spend, orders, COGS, shipping, and refund data.
Your job is to:
1. Calculate the true contribution margin for each SKU and campaign.
Use this formula:
Revenue minus COGS, shipping costs, refunds, and allocated advertising spend.
2. Flag every SKU or campaign operating below breakeven.
3. Recommend one action for every flagged item:
Pause, reprice, or reduce advertising spend.
Explain the reasoning behind each recommendation.
4. Present the results in a table sorted by the largest daily loss first.
Use attributed platform revenue when available and clearly explain the attribution method used.
Do not combine Google and Meta revenue without warning me about possible attribution overlap.
Never recommend pausing my three highest-revenue SKUs without displaying a warning first.
Ask me before making assumptions about missing cost data.
Agent 2: Abandoned Revenue Recovery
Upload daily:
Abandoned cart data, failed payment reports, and a customer list containing each customer’s most recent purchase date.
Prompt:
You are my Revenue Recovery agent.
Every day, I will upload abandoned carts, failed payments, and customer purchase data.
Your job is to:
1. Segment customers into the following groups:
High-value abandoned carts over $X.
Repeat customers who have not purchased in at least 60 days.
Customers with failed payments.
2. Write one personalized recovery email and one WhatsApp message for each segment.
Match this brand voice:
[Describe your brand voice in one sentence.]
3. Recommend one offer for each segment.
Always begin with the lowest-cost option, such as a reminder or product benefit, before recommending a discount.
4. Ask me each week which messages generated sales.
Use my answers to improve future messaging and offer recommendations.
Never recommend a discount higher than X% without asking for approval.
Agent 3: Feed and Listing Health
Upload daily:
Your Merchant Center diagnostics export and product feed file.
Prompt:
You are my Feed Health agent.
Every day, I will upload my Merchant Center diagnostics and product feed.
Your job is to:
1. List every disapproved or limited product and include the exact reason provided by Merchant Center.
2. Correct issues that can safely be fixed inside the feed, including formatting problems, weak titles, missing attributes, and incorrect field structures.
Only add product information when the correct data is available.
Never invent GTINs, product identifiers, certifications, pricing, or product attributes.
Return a corrected feed file.
3. For issues requiring action outside the feed, including price mismatches, policy violations, website problems, or landing-page errors, provide a prioritized to-do list.
4. Rewrite the ten weakest product titles using this structure:
Brand + Product Type + Key Attribute + Size or Color
Immediately flag anything that may place the Merchant Center account at risk of suspension.
Place critical issues at the top of the report.
The shortcut
You can build these workflows yourself, upload the data, review the recommendations, and repeat the process every day.
Or you can automate much of the work.
StoreYa’s Traffic Booster uses AI to continuously manage and optimize advertising campaigns while helping online stores monitor and improve product-feed performance.
No daily spreadsheet uploads.
No repeated prompts.
No manual campaign management.
Just ongoing optimization across the channels that matter to your store.
Trusted by 500,000+ online sellers.
Spend less time managing advertising.
Spend more time growing your business.
Get started at StoreYa.com
Mushon Heinisch
Mushon is the Head of Media at StoreYa.
He’s a PPC expert specializing in Facebook, Google, and Instagram eCommerce campaigns.
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