Strategic product data services, sized to your project

Pivotree’s data services practice runs the product catalog work that sits in the backlog indefinitely because of resource constraints. Our work is scoped to what you actually have and sized to what you actually need.

Some catalog work has an end. This is that work.

Product data management is a function you operate—month after month, for as long as the catalog lives. Plenty of catalog work isn’t that. It has a clear edge and a finish line. The problem is already defined; what’s missing is the time and the specialists to close it out, because the people who could are buried in the day-to-day.

Sometimes the scope is obvious before you call us. Sometimes it comes out of a data strategy engagement that named the problem precisely. Either way, once the scope is set, we run it to done—by people who’ve done the same job in other catalogs, against a deliverable you agreed to up front.

13 M+
SKUs in our library
across 2,500+ brands
50 x
Faster classification
with our ML mapping tools
~ 90 %
Classification accuracy on raw vendor data
before a human reviews it (and they do)

Our project-based
strategic data services

Data Modeling & Taxonomy Design

The schema underneath the catalog and the categories your buyer navigates. We design or rebuild both—attributes, hierarchies, relationships, and channel-specific variants—so they hold across every channel you sell on now and the ones merchandising is already planning for. Most catalog problems are a modeling problem two levels down.

Data Enhancement

We organize, standardize, and connect your product data, classifying it for discoverability, normalizing it for accuracy, enriching it for usability, and linking related products together. We also offer a library of over 13 million channel-ready SKUs sourced directly from manufacturers.

Does your data need work?

Our strategic data services are the best fit when:

The work has a defined edge—a category, a migration, an acquired catalog—and it’s finished when it’s finished.

A merchandiser or data lead can already point at what’s wrong: the category that won’t classify, the feed a marketplace keeps rejecting, the attributes that were never there.

A PIM or MDM implementation is coming and the data has to be in shape before it goes anywhere near the new system.

You have the headcount, but the work in front of them needs specialists who’ve done this exact job before, not another req to fill.

Not a one-time fix?
That’s Ascend.

If the catalog needs the same care every month—as suppliers change formats, channels add requirements, and the SKU count climbs—then you’re not scoping a project. You’re running an operation.

Ascend Catalog Pro is how we run product data as a managed program: a dedicated team operating enrichment, normalization, taxonomy, and channel-readiness against KPIs we commit to and report on every month. The same specialists you’d get on a project, just on a standing basis instead of a scoped one.

Product Data Enhancement FAQs

No. We work on whatever you’re on, and we’ve worked on every major platform. If you’re not on a PIM yet, we can do the modeling and taxonomy work that determines what shape your data needs to be in before you pick one (if you need one).

It depends on the work in front of you. A taxonomy redesign for a single category might be six to eight weeks. A full data model rebuild ahead of a PIM migration can run a quarter or more. An enrichment project against an acquired catalog is sized by SKU count and complexity. The first conversation is a scoping session—we figure out the actual shape of the work before quoting anything.

Enhancement is a project with an edge: a defined problem, scoped, fixed, handed back. Product Data Management (our Ascend Catalog Pro program) is the standing operation that keeps the catalog clean month after month. If your problem has a finish line, you want this page. If it doesn’t, you want Ascend. Plenty of customers start with a project and move to Ascend once they see the work doesn’t stop, but that’s their call, not our upsell.

Let’s scope your data project.

Tell us what’s in front of you—a category that’s underperforming, a migration sitting on the calendar, a data model that’s started to creak, a taxonomy nobody trusts anymore. Our practice lead will run a scoping session, sketch the project, and tell you what it would cost. Whether you move forward is your call.