Hand raw collected copy to a two-stage AI that rewrites titles and descriptions to match each marketplace's tone; before you list, IP risk scanning surfaces brand and trademark risk at a glance; and even 1688 costing can be handed to AI to read detail images, judge a match and measure packaging.
A vision model reads the product first, then a text model rewrites titles, descriptions and bullets. Multi-model routing (MiniMax / DeepSeek / Doubao) matches each marketplace's tone, and results are isolated per team — your edits never pollute others' data.
Built for marketplaces with zero tolerance for duplicate / cloned listings, like Fruugo: copying another seller's title or description gets flagged as a clone — unrecoverable, with a per-SKU fine. AI rewrites the raw collected copy into your own original, differentiated version: titles stripped of keyword stuffing, descriptions rewritten around real selling points — keeping you clear of duplicate flags.
Scan on collect: local keyword hits plus ™®© symbol detection surface brand and copyright risk, while built-in fair-use context (e.g. "for X") cuts false positives. Three entry points cover automatic, batch and AI-loop scanning — nothing slips through.
1688 image-search costing used to mean paging through each candidate by hand, judging whether it's the same product, then typing in the purchase price and packaging size and weight. Now a vision model does that step: it reads the candidate's detail images to confirm a match and extract packaging dimensions and weight. Trigger it in batch by filter, with a points estimate to confirm before it runs.
High-confidence matches can confirm the price automatically; uncertain ones are pre-filled as a draft for a human to review, and likely-different products are flagged in red — automatic where it can be, manual where it should be. Auto-confirm ships off by default: calibrate accuracy on a small batch first, then switch it on.
AI is one link in the chain. See CerePilot's full path from link to listing.
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