The systems are running. The work is what happens around them.

Opening

Distribution operations run on operational software that's been in place for years - Eclipse, P21, and the purchasing tools and sales platforms built around them. The investment has been made. The reports are being generated.

What rarely matches the investment is the operational work that turns what the systems produce into actual outcomes. The buyer opens the recommended purchase queue and processes some of it, sets some of it aside, and works around the parts the system doesn’t account for. The dashboard shows the dead stock report and the people in the operation know which SKUs on it are genuinely dead and which ones aren’t; the knowledge lives in the experienced operators rather than in anything written down.

That’s how distribution actually runs. Sophisticated software, used by experienced people who’ve learned which outputs to trust, which to verify, and which to set aside.

That model works right up until the experienced people get busy, retire, or move on.

What our specialists do

We place trained specialists inside distribution operations, supported by purpose-built tooling, in the seats where the interpretive work needs to happen.

At the purchasing chair

A buyer sitting in front of a recommended purchase queue is making decisions the system can’t make. The work is figuring out which lines reflect actual demand, which reflect data the system didn’t have full context on, which need to be modified, and which need to wait.

Our specialists do that work explicitly. They research before acting. They document where the system’s view of demand diverges from the operational reality. When the queue recommends a purchase that doesn’t match what they’ve concluded, they don’t make it.

A normal interaction looks like this: “You didn’t click the queue on that line.” “Yeah, the number’s wrong. I’m not buying for about ten days. Current estimate is closer to forty units.” That conversation, repeated through the week, is what prevents the inventory that would otherwise be sitting unmoved in ninety days.

When the inventory has aged

That’s the work at the front of the cycle. The other half is the inventory that’s already on the shelf.

Most operations bring us in after the inventory has accumulated. Identifying it is trivial; any analyst can produce a list of SKUs that haven’t moved in ninety days. The list itself doesn’t change anything.

What changes the list is someone making the calls. Why was this bought? Is it allocated? Can it go back to the vendor? Is there an RMA path? Can it move to another branch? That work doesn’t happen on its own. Most operations don’t have anyone whose job it is to do it.

Our specialists make those calls, working directly with purchasing agents and branch managers as operational partners. The objective is movement before write-off.

Product data

The symptoms are familiar. Quotes pull outdated specs. Submittals go out with attribute data that no longer matches what the manufacturer is publishing. Customer-facing catalogs show information someone has to apologize for later.

Distribution businesses run on product data, and that data is inconsistent at the source, manually maintained in most organizations, and rarely clean enough to power the workflows depending on it. The platforms can hold the data. They can’t fix it. We build and operate the workflows that bring it under control: connecting manufacturer feeds, normalizing attributes, surfacing drift before it affects customer-facing output. The work is foundational and rarely visible until it isn’t done.

How it gets supported

Our specialists aren’t placed with a laptop and an Eclipse login. They’re supported by tooling we build specifically for the work they do: purpose-built workflow layers that sit alongside whatever operational software the business already runs, designed around the actual sequence of decisions the specialist is making. Most of what gets built is workflow tooling around the existing platforms, not replacement systems.