Someone has to check every product on every marketplace, every day. Synaps is that someone.

An automated marketplace manager checks a catalog against every connected marketplace on a recurring basis, establishes which products are live and which are not, ranks the gaps by the revenue they would recover, corrects the underlying data and republishes. The distinction from monitoring is that the work is done rather than reported. The distinction from a rejection report is that the queue arrives in priority order. Synaps runs that loop daily: prioritise, diagnose, complete, adapt, republish.

Prioritisation is the part that is hard to reproduce, because it depends on seeing the same product across several channels at once. A reference blocked on one marketplace and selling steadily on two others has a measurable expected gain: the demand is demonstrated and only the listing is missing. A reference blocked everywhere and selling nowhere has no such evidence behind it. A rejection report treats the two identically. Ranked by revenue at stake, they sit at opposite ends of the queue, and the first week of work recovers most of the value.

This is also why a single-channel view is not enough. A marketplace back-office can tell a seller which of its products are blocked on that marketplace. It cannot say what those products earn everywhere else, because it cannot see everywhere else. The commercial signal exists only where several channels are reconciled against one catalog.

The reason the loop cannot rely on push reporting is that a push confirmation and a live listing are two different things. In one recent week, a single catalog was submitted to two marketplaces. On the first, 1,376 products were sent and 1,376 went live. On the second, 105 products were sent, the submission was confirmed, and none were ever ingested: that marketplace required the title and long description in two additional languages, and every product failed on the same four fields. The export report said 105 products had been sent. The number in the catalog was zero.

The subtler finding came from the marketplace where everything worked. Of the 1,376 products that published successfully, 83% carried warnings — values accepted but flagged, formats tolerated rather than correct. Warnings block nothing, so they appear nowhere, and they accumulate quietly until a rule tightens and a batch that ran for a year stops running.

The economics are what changed recently. Checking a catalog channel by channel, working out why each product is missing, researching the values and resubmitting used to be a person's job, priced accordingly, and therefore rationed to the products someone judged worth the effort. Automating the loop makes it viable to run daily across a whole catalog, including the long tail that never justified manual attention and often carries the better margin.