Data
Catalog, channels, sales and the rules of each marketplace.
AI has been inside the platform long enough for us to know where it works and where it doesn't. We'd rather be clear about both.
It isn't a separate feature. It steps into every point where there's volume and repetition.
Catalog, channels, sales and the rules of each marketplace.
Reads what's incomplete, wrong or outside the channel's pattern.
Proposes content, category, translation or a price move.
Publishes and updates on the channels, once validated.
Learns from the team's corrections and improves the next batch.
Six fronts that run on AI today, with human review on top.
From one master record it writes titles, bullets and descriptions inside each marketplace rulebook: character limits, required attributes, banned terms.
Five markets, five languages, without hiring five translators. Industry terminology kept consistent across channels.
Amazon's category tree isn't Kaufland's and it isn't Bol's. The model proposes the fit and learns from the team's corrections.
Fills fields from the spec sheet, the images and the catalog history, within what each channel demands.
Price below the floor, stock dropping too fast, a listing that lost the featured offer. The alert lands before the problem does.
Summarizes open cases, drafts buyer replies and prepares the work so a person only has to validate it.
AI takes the repetitive work. Anything touching margin, risk or account health always goes past a person.
Twenty minutes on the phone and an honest read of your catalog. If we're not a fit for you, we'll say so.