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Customer story · Apparel and ecommerce
Choosing which graphic to print, from sales history instead of instinct
Beautiful Disaster is an apparel brand running on Shopify, Klaviyo, Meta, and Google Analytics. Its owner uses CorpusIQ inside Claude to ask production questions against live sales history, including which graphic to print on blank inventory already sitting in the warehouse.
Christina DuvarneyOwner, Beautiful Disasterbdrocks.com
Industry
Apparel and ecommerce
Asks through
Claude
Connected tools
Shopify, Klaviyo, Meta Ads, Google Analytics, Google Ads, Instagram, Postscript, TikTok
Watch the story
The problem
- The data existed. It was just spread across Shopify, Klaviyo, Meta, and Google Analytics, with no single place to ask a question that crossed all four.
- Working out what was actually happening in the business took far longer than it should have, and the time went into assembling the picture rather than deciding anything.
- General AI assistants were willing to answer business questions but had no knowledge of this business, so there was no way to tell whether an answer was right.
What they set up
- 01Connect Shopify and the marketing platforms to CorpusIQ through read-only OAuth.
- 02Ask production and performance questions in plain English inside Claude, which reaches the live data through CorpusIQ rather than working from anything pasted into the chat.
- 03Get the recommendation back tied to the underlying sales records, so the reasoning can be checked rather than taken on faith.
What changed
- A concrete production decision, which graphic to put on blank leggings already in inventory, answered from historical sales rather than instinct.
- The analysis covered which graphics had performed best, which sizes sold most, and what customers were actually buying.
- Decisions that affect inventory, sales, and revenue now start from the full picture instead of from whichever report was easiest to open.
In their words
“One of the hardest parts of running a business is getting a straight answer. Everything is in different places.”
“When AI came out, I was excited. But the problem was it didn't know my business. It would give me answers, but I never knew if they were actually right.”
“I'm not getting generic AI answers. I'm getting answers based on my business, my customers, my sales history, and my data.”
“The biggest benefit isn't saving time. That's great. But it's trust. I finally feel confident making decisions because I know I'm looking at the full picture.”
Christina Duvarney, Owner, Beautiful Disaster
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