Solution 2 of 4
Your product is showing wrong information on the sites where customers buy it.
Wrong prices on Amazon. Outdated descriptions in distributor portals. Missing images on your own site. Specs that don't match the box. Every mismatch is a lost sale, a return, a review you can't recover from, or a chargeback. The problem isn't the data itself — it's the system that lets the data drift. We fix the system.
Let's ConnectYou'll recognize this if…
- ✓Customer service handles repeated complaints about wrong product info
- ✓Different retailers show different specs for the same product
- ✓Your PIM, your DAM, and your e-commerce site disagree
- ✓New product launches require manual data entry into 5+ systems
- ✓Nobody can answer "where is the source of truth for this SKU?"
- ✓Marketing assets and product data live in completely separate tools that don't sync
Why this happens
PIM and DAM systems are almost always bought separately — often by different teams, in different budget cycles, from different vendors. A PIM manages structured product data. A DAM manages marketing assets. In practice, both are needed to get a complete, accurate product listing in front of a customer. But they were never designed to talk to each other, and integrating them gets deferred in favor of more urgent launches. Platforms like Syndigo, 1WorldSync, and Acquia DAM are powerful tools that require sustained governance to stay accurate — and that governance rarely gets resourced properly.
Syndication to retailers gets treated as a one-time setup. An agency connects your GDSN feed, a project closes, and the relationship is assumed to be self-maintaining. But retailer requirements change. Product lines expand. Specs get updated. Nobody is watching the drift until a buyer flags an issue or a customer leaves a one-star review about wrong sizing information.
The root cause is ownership. Nobody in the organization has a clear mandate for SKU and GTIN data integrity across all endpoints. Product manages the data in the PIM. Marketing manages the assets in the DAM. E-commerce manages the website. Retailer portals belong to no one. Product launches get coordinated in spreadsheets that become the de facto source of truth — and then go stale the moment the launch is done.
What fixing it actually looks like
A typical engagement runs four to six weeks.
Week 1–2 — Audit
We map every system that touches product data: PIM, DAM, ERP, e-commerce platform, retailer portals, GDSN networks. We identify where the data lives, where it goes, and where it breaks.
Week 3 — Reconcile
We pull a sample of SKUs and run them through every endpoint. We document every discrepancy — wrong prices, missing images, outdated specs, failed syndication — and quantify the revenue exposure.
Week 4–5 — Fix and govern
We correct the data at the source and rebuild the workflow that keeps it accurate. This includes defining who owns each data type, how updates flow from source to endpoint, and what the monitoring cadence looks like.
Week 6 — Hand off
We deliver the full data flow diagram, reconciliation report, governance plan, and a monitoring process your team can run. Nothing gets left as a black box.
What you get
- →Data flow diagram from source of truth to every retailer and distributor endpoint
- →SKU/GTIN/asset reconciliation report — what's wrong where, quantified
- →Governance plan — who owns what, how data gets updated, escalation paths
- →A monitoring approach your team can run on a regular cadence to catch drift before customers see it
Common questions
How is this different from buying a PIM?
A PIM is a tool that stores data. We analyze why the data is breaking — which may be a governance problem, an integration problem, or a process problem — and fix it. You may already have a PIM. That's usually part of the problem, not the solution.
We already have Syndigo / 1WorldSync — why are we still having problems?
Because those platforms require ongoing governance to work correctly. They're not set-it-and-forget-it — retailer requirements change, product data changes, and syndication channels need to be maintained. Most of the engagements we do involve a GDSN platform that was set up correctly years ago and has since drifted.
Can you fix this without changing our existing tools?
Usually yes. Most of the time the tools are fine; the governance and process around them isn't. We rarely recommend replacing a PIM or DAM unless there's a fundamental mismatch between what the tool does and what you need.
How fast can we see improvements?
Some fixes are immediate — incorrect data can be updated within days of identifying it. Systemic fixes (rebuilding syndication workflows, establishing governance) take longer. Most engagements identify quick wins in week one.
What about retailer-specific requirements (Amazon vs. Walmart)?
Each retailer has its own data requirements, image specifications, and syndication channels. Part of the engagement is mapping which retailers you're on, what each requires, and where your data doesn't meet those requirements.
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Ready to find out where your product data breaks?
A 30-minute call costs nothing and ends with a clear sense of whether this is worth your time.
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