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Curious Context Labs

Marketing · Automation

Product descriptions and catalogue enrichment

AI product descriptions for online stores and wholesalers

Supplier spec sheets and rough product data become complete listings: titles, descriptions, attributes and tags, ready for your store and marketplaces.

01 today

The problem

New stock arrives with a supplier spreadsheet, a PDF spec sheet and a few photos. Someone copies details by hand into Shopify and every marketplace, so products go live late or with thin, inconsistent descriptions. Missing attributes mean shoppers cannot filter to find them.

02 the run

What the AI does

  1. Step 1: Reads new or changed SKUs from Shopify, your inventory system or a supplier spreadsheet.
  2. Step 2: Extracts sizes, materials, dimensions and care details from the supplier PDF and photos.
  3. Step 3: Drafts a title, description and bullet points in your house style, sized for each channel.
  4. Step 4: Fills missing attributes and filter tags, and flags any field it could not confirm from the source.
  5. Step 5: Pushes approved listings to Shopify, Google Merchant Center and Amazon Seller Central.

paused: waiting for a person to approve

03 human in the loop

Where a person approves

A merchandiser approves each new listing in a review queue before it is published. Any claim about safety, materials or certifications is highlighted for a second check.

04 after

What changes

New products go live sooner with complete, consistent details on every channel. The team edits drafts instead of typing from spec sheets.

Results from a real build

[CASE STUDY] We only publish results we can name and check with the client.

see also

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    Company assistant

Tell us how your business runs. We'll tell you where AI fits.

A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.

Working with teams in the United States, United Kingdom and Australia.