Scaled a Shopify store from 200 to 3,000 listings — without a single new hire.
An e-commerce operator was manually writing product listings one by one. At 45 minutes per listing, expanding their catalog was impossible. We automated the entire pipeline from raw product data to published, SEO-optimized listings.
The Problem
Growth was bottlenecked by content. The team had access to thousands of products they could sell, but couldn't list them fast enough to capitalize on the opportunity. Hiring more copywriters wasn't the answer — the bottleneck was process, not people. Each listing required research, writing, SEO optimization, and quality review before it could go live.
The Solution
We built an end-to-end listing pipeline that takes raw product data — a spreadsheet, a supplier feed, or a URL — and outputs publish-ready Shopify listings in bulk. An extraction agent pulls and structures product details. A content agent writes compelling, on-brand descriptions. A QA agent checks for accuracy and compliance. An SEO agent optimizes titles and tags. The final step publishes directly to Shopify via API.
Live Demo
Watch a raw CSV row become a complete, SEO-optimized Shopify listing in under a minute.
Click “Run Demo” to watch raw product data turn into a publish-ready Shopify listing
Workflow in Action
CSV, supplier feed, or URL — any format works
Pulls specs, features, dimensions, category signals
Writes title, description, bullets in brand voice
Checks accuracy, tone, completeness — flags issues
Tags, meta, keyword placement — optimized for search
Live on the store — no human in the loop
Tech Stack
Client Feedback
We had 12,000 products we could sell and only 200 listed because writing them manually was impossible. Candice's pipeline changed that completely. We listed 3,000 products in a month and the quality was better than what we were writing by hand. Catalog expansion is now a growth lever, not a bottleneck.
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