Jun 25, 2026 | 6 minute read
Most B2B manufacturers default to ERP as the source of truth for product data, but ERP runs operations, not customer experience. This post makes the case for flipping that model: set data standards at the commerce layer and let upstream systems adapt to it, not the other way around.
written by Valerie Levanduski
The logic feels reasonable at first: ERP is the system of record for the business, products live there, so product data flows outward from it into the PIM, onto the website, and out to distributors. ERP sits upstream and everything else follows.
The trouble is that ERP runs operations. It tracks inventory, processes orders, manages financials. It does that well. But it was never built to answer the questions customers actually ask: What are the full technical specifications? What does this part fit? What format can you send me this data in? When B2B organizations force customer-facing product data to originate from an operationally-oriented system, they absorb enormous cost at every handoff, translating, cleaning, and reformatting data before it reaches anyone outside the building.
Ask any product data manager what their week looks like and you'll hear the same story: pull from ERP, scrub manually, reformat, load, review, and repeat for every catalog update, every acquisition, and every new distributor portal with its own data requirements. Most organizations never tally what that actually costs — the headcount absorbed by manual cleanup, the errors that propagate from system to system, the pricing mismatches in distributor portals, and the structured data export a customer requested two weeks ago that nobody has gotten to yet because pulling it cleanly requires three people and a spreadsheet.
The root cause is architectural. When ERP is the source of truth, every downstream system becomes a translation layer that adds latency, introduces error, and absorbs staff time. That cost compounds until an acquisition or a platform migration finally makes it visible.
Instead of asking how to make ERP data usable for customers, start by defining what customers need to see and build data standards around that.
Your product detail pages, distributor portal feeds, and syndicated catalog content are where product data gets stress-tested. Customers search it, compare against it, make purchasing decisions using it, and increasingly load it directly into their own ERP and PIM systems. When data fails at that layer, it fails the sale.
That makes the commerce layer the most accurate signal available for what product data standards should actually be — not ERP field conventions or the attribute schema from a legacy system implementation ten years ago, but what channel partners and customers actually need, expressed at the point where they make decisions.
When the commerce platform sets the data standard and upstream systems adapt to it, the entire stack starts pulling in the same direction. ERP becomes a contributing system, feeding price and inventory into a commerce layer that governs what customers see. The manual effort spent reformatting and correcting data at each handoff shrinks because the translation requirement shrinks.
A common response to catalog chaos is to invest in a PIM. The intention is sound: create a central repository, apply consistent data standards, syndicate content to the right channels. In the right architecture, a PIM is a critical part of the foundation.
But a PIM doesn't fix broken source data. It gives broken source data a more expensive home.
Organizations that implement a PIM expecting it to solve quality problems, without addressing the accuracy and structure of what the ERP is producing, end up with a new system and a team to run it while still doing data gymnastics on the back end. The PIM becomes another translation layer rather than a true system of record, because the data feeding it still requires manual review before anyone trusts it.
Tooling decisions made without a clear data governance model produce the same chaos with more infrastructure wrapped around it. One manufacturer described implementing a PIM and a DAM together, spending significant time and money on the project, and discovering that their product data was so technically inaccurate at the source that the PIM couldn't deliver what they needed. Clean tools, dirty data. The cleanup still had to happen upstream.
In practice, flipping the source of truth means this: define what customer-facing product data needs to look like, including the attributes, structure, format, and completeness criteria, and use that definition to set requirements for every system upstream.
Your PIM should own all product content that customers see. ERP holds price and inventory, because those are transactional and require operational governance. Product descriptions, technical specifications, digital assets, categorization, and attribute data belong in a system built around how that data gets used, not how it was first captured internally.
Your commerce platform needs the flexibility to adapt to what customers and channel partners actually require, rather than constraining them to what your internal systems can produce. When a distributor requests a structured data export in a specific format, the answer should not depend on whether the ERP can generate it. An API-first commerce architecture, built around flexible catalog management and channel-specific data delivery, supports exactly this model. The commerce layer becomes the interface between what the organization knows about its products and what the market needs in order to act.
One more reason to flip the model: the improvements compound.
Clean, structured product data in the commerce layer speeds up distributor onboarding, which means new items reach the market sooner. Better product content reduces inbound support volume because customers find the answers they need without calling, freeing up resources to improve content further. And as AI-powered search and discovery become central to how B2B buyers find products, well-structured catalog data becomes a competitive differentiator in channels you control and in the AI-driven environments you do not.
The ERP is not going anywhere, and it still runs the business. But the question of which system sets the standard for what customers see is worth answering deliberately rather than inheriting by default. For most B2B organizations, the ERP ended up in that role by accident. Changing it, even incrementally, is where the real leverage sits.
If you are rethinking how your commerce architecture handles product data, Elastic Path is built for this model. Flexible, API-first, and designed to serve as the commerce layer your data flows through cleanly.
Schedule a demo to see how Elastic Path delivers unified commerce for leading global brands.