Your supplier just sent 2,000 products.
Listing them will take your team a month.
Product feeds that don't match your fields. Categories that don't match your tree. Photos at the wrong size. Units in the wrong format. Your team copy-pastes one product into ChatGPT, fixes the output, pastes it into Shopify, and starts the next one. 28 minutes per SKU.
The Supplier Product Listing Agent does it in under a minute. And it gets sharper every batch.
You know this pain if
Every new supplier is a new project. Weeks before the first SKU goes live.
Your team is in ChatGPT all day, copy-pasting product rows one at a time.
Catalog growth is capped by listing capacity, not strategy. You can't add dropshipping, sign new brands, or expand 30% — because nobody can list that fast.
Your PIM stores clean data but doesn't produce it. The mess upstream is still on your team.
Every supplier photo needs work before it's usable.
What the agent
actually does
Drop in any supplier file
Excel, CSV, PDF catalog, EDI, XML, whatever they sent. The agent:
- maps supplier fields to yours
- fits products into your category tree
- selects the right attributes
- generates localized descriptions
- fixes and resizes photos
- validates listings
- pushes products to your systems and marketplaces
Then your merchandiser reviews and approves.
Week one
Your team sets the playbook: brand voice, category logic, what "publish-ready" looks like at your company. The agent learns your standard.
Month two
Your merchandiser reviews maybe one product in five. The rest go live on the standard you set.
Month six
The agent rewrites underperforming listings on its own — titles that aren't getting clicks, descriptions that aren't converting. Your team sees what changed and why.
Your team decides what to sell and how it should feel. The agent does the listings — and tunes them against what actually performs.
By month six, your team works on strategy.
Not listings.
Why not just use ChatGPT
You already are. That's the problem.
ChatGPT writes good descriptions. It doesn't open the supplier spreadsheet, fix the photos, translate the listing, or push it to your eshop and marketplaces. Your team does all that — by hand, after the chat.
The agent uses the same models — OpenAI, Claude, Gemini, your pick. But inside Boost.space, plugged into your catalog and your systems. So it does the whole job, not just the writing.
When listing stops being the bottleneck
You stop choosing suppliers based on your team's bandwidth. The long tail goes live. Marketplaces you've been postponing for two quarters — you turn them on. The catalog stops being something you maintain. It becomes something you expand.
What does next Black Friday look like with 200,000 more SKUs live in your catalog?
Unifying & Managing Multi-Supplier Product Feeds
Czech outdoor retail. 33+ stores, 200+ employees, multi-channel ecommerce.
28–30 minutes per product.
Mapped and listed by hand, with ChatGPT for the descriptions.
Under 1 minute per product.
The team reviews instead of lists. Catalog expansion is a strategic decision now, not a staffing problem.
