Stop fixing your product data at the exit

There's a popular answer to bad product data: a feed management tool. Pull your catalog from every source, write transform rules, reshape each listing to fit each channel, and push it out to a few hundred destinations. It works. Feeds are genuinely good at format translation, attribute mapping, and delivery.

But notice where the enrichment happens in that picture. It happens at the exit — the moment data leaves your source of truth on its way to a channel. And the place you fix something determines whether the fix lasts.

Enriching the feed fixes the printout, not the document

When you enrich at the feed layer, you enrich the projection of a product, not the product itself. The transform that fills a missing material, splits a title, or attaches a compliance flag runs on the way out. It never writes back. Your PIM, ERP, or commerce platform — whatever holds the real record — still has the gap.

So three things quietly happen:

• The work repeats per channel. A few hundred destinations is a few hundred places the same gap gets patched, or missed. Enrich the same SKU twelve different ways and you don't have one product, you have twelve.
• Your source of truth keeps rotting while the feed looks fine. The dashboard is green at the pipe. The asset underneath never improved.
• The transform rules become your real product data — and they live in a feed vendor's tool, not in the system you call your source of truth.

A feed tool's own pitch usually includes a line like "our channel experts stay current so you don't have to." Read that again. It's renting you labor at the pipe and conceding the work never ends. The work doesn't end because it was put in a place where it can't compound.

The exit you tune is no longer the exit that matters

Here's the part that turns this from a tidiness argument into an urgent one.

Feed management optimizes the exits you hand-tune. AI shopping agents read the exits you don't control. When an LLM assistant or an agentic-checkout flow does the shopping, it doesn't politely pull your curated Google Shopping feed. It reads your PDP's structured data, a marketplace listing, a third-party aggregator, a distributor's copy of your SKU. You don't get to choose which surface it hits.

If your enrichment only lives in the feeds you tuned, you're complete on a handful of surfaces and thin on every other one a machine might reach. The only way to be consistent everywhere a product can be read is to fix the product where every surface draws from: the source.

Fix it upstream, then let feeds do what they're good at

Upstream doesn't mean "go buy a PIM." It means do the enrichment work before the data leaves your single source of truth — whether that's a PIM, an ERP, a commerce platform, or a flat file if you don't have a system yet. Gather the missing specs, normalize the suppliers' messy exports into one taxonomy, write the description, attach the warning, catch the missing GTIN — and write the result back into the record. Once.

Then your feed tool does the job it's actually built for: translating that one clean record into each channel's format and delivering it. Every channel, every marketplace, every agent, every system you haven't connected yet inherits the same enriched product. The work lands in the one place it stops repeating.

That's the line we draw at Anglera: your PIM stores the data; Anglera does the work — upstream, written back to your source of truth, so you never fix the same SKU at the exit again.