Solutions · Channels & Markets
Launch products across channels and markets.
Agents that reshape the same product for the place it is going: translated into the languages you sell in, and rewritten to each marketplace’s schema and its search. Amazon is not one channel, it is one per country, and so is everything else here.
The problem
The connector works. The data is what fails validation.
The plumbing is rarely what stalls a launch. The connector exists, the feed goes out, the integration works. What stops it is the data arriving at the other end: fields the channel requires and your catalog does not carry, values in a format the operator rejects, one mandatory attribute nobody owns.
And a channel is not one rulebook. Amazon Italy and Amazon Germany carry different attribute schemas, different validation and different operators, which makes them two jobs rather than one job run twice. That is a lesson from a live delivery, not a design preference: the rules cannot be pasted from one country into the next, so the template is studied country by country.
The cost of that shows up as time, and not in the integration: it goes into producing data that fits the template. On the retailer’s side the same gap looks smaller and hurts more: a product with good copy and good specs that still cannot be created, because one required field is missing.
Common use cases
The jobs on the channel
A few of the ones that run here. Amazon alone is one workflow per country, so the real list is longer than the cards below, and a channel we have not named is a template to study rather than a new product. Each has its own output and its own numbers.
Getting live on a channel
Passing validation, and reading like it was written there
Two kinds of work land on the same product. The listing is mapped to that channel’s own schema for that country: mandatory attributes generated rather than left blank, values normalized into the formats the operator accepts, single-select fields like category resolved deterministically, and titles, bullets and backend keywords written for that marketplace’s search rather than lifted off your product page. The language is the second job: the content you already hold, taken into the markets you sell in against your own glossary and tone, so a launch never waits in a translation queue. Whatever genuinely cannot be resolved comes back as a decision before upload, because a listing that fails validation costs more than one that waits a day.
Amazon DE · pre-flight
ReadyPasses on first upload
The feedback loop
Every correction makes the next run better
Your team judges the output. A value is right, or it is wrong and gets fixed once. Each verdict changes the next run: the score on your own sample moves, and the agent starts from what the last one learned. So the share of values that need a person keeps falling, measured on your catalog and your rules rather than on an average of everybody else.
How we work
Live on your catalog in weeks, not months
We run all four phases with your team, on the stack you already have, and each one ends with a number you agreed in advance.
- 01
Design
We map how your data comes in and how the result goes back out, then agree the business KPI the agent has to move.
- 02
Implement
We build the agent and test it on a sample of your own catalog, agreed with you. Every change is scored against that sample, so the tuning runs on numbers.
- 03
Prove
Done means the KPI reached target on the full catalog, and you have seen the numbers yourself.
- 04
Evolve
We stay on the account. Your corrections keep improving the agent, the KPI holds where you need it, and the next use case starts from the context this one already built.
Enterprise, on a catalog you cannot break
It runs on the stack you have
It reads your PIM, ERP and DAM through their APIs and writes the result back to them.
A person approves everything that publishes
Every value is checked against your rules, and anything uncertain goes to review before it reaches a channel.
Your data stays yours
Your own isolated workspace. It is never pooled into shared models, and you can export it at any point.
Every run is logged
Each value carries its source, its run and its score, so you can see why a wrong one went wrong.
Questions
What retailers ask us
Is Amazon one integration, or one per country?
One per country, and that is deliberate. Each marketplace country carries its own attribute schema, validation rules and operators, so each is its own workflow with its own template. Sharing one template across countries is how a listing passes in the first and fails in the rest.
Do you replace our feed manager or our integration?
No. Whatever moves the data keeps moving it. We work on what it carries, so the record that arrives at the channel already fits that channel’s schema.
Is this translation or rewriting?
Both, and they are separate jobs on purpose. Translation takes the content you already have into your other languages. A marketplace listing is rewritten for that marketplace’s rules and its search, so the sentences are different ones, written for that channel.
What happens when a channel changes its rules?
The template is per country and maintained as the rules move. That is the part we stay on after go-live, and it is the reason this runs continuously rather than as a migration you do once.
What about mandatory fields we simply do not have?
They get derived or recovered where that is possible, and flagged as a decision where it is not. Nothing is filled with a plausible guess to clear validation, because that defect comes back later as a return or a takedown.
Whose data is it?
Yours. The corrections your team makes are what the agents learn from, and both the data and the corrections stay exportable at any point.