Logistics · Cost Modeling

How Vixster cut its cost per pickup ~40%

A rising cost metric was keeping the CEO up at night. A statistical model and one dashboard found the levers, and Zak used them to drive the number down and fund his own expansion.

~40%
Cut in cost per pickup
10:1
Return on the engagement
~$7
Hidden cost per out of region pickup

Zak Ammar runs Vixster, the Uber for trash pickup, providing affordable pickup for rural clients across North Carolina and Tennessee. Growth was not the thing that kept him up at night. The cost of delivering the service was. It kept climbing, month after month, and the worst part was that he could not say why.

He had hunches, longer routes, haulers crossing between regions, truck size, what he paid his crews, but a hunch is a heavy thing to carry when real money is walking out the door and you cannot prove which hunch is right. So Zak did what a lot of founders do: he tried to corner the problem himself, stitching internal data into a Google Sheets report late into the evenings. It was tedious to build, it was never quite finished, and it never gave him the answer he needed. He was working harder on the problem and getting no closer to it.

A plan that put his own hunches on trial

At a loss for how to fix it on his own, Zak reached out to CDA. After an initial consultation, CDA laid out a simple plan: a statistical analysis to find what was actually driving cost, and an automated dashboard so he could watch it. Zak looked it over and decided to give it a shot.

What made the difference is that the plan started with Zak's own intuitions and put each one on trial against the data, so he was never asked to trade his judgment for a black box. Some of his hunches held up and some got sharper. Mileage did raise cost, a few cents a mile that added up fast. Truck setup mattered, but subtly. And the hunch he could never prove turned out to be the big one: haulers working outside their home region were expensive, in one market by nearly seven dollars a pickup.

CDA built the model across all of Vixster's regions, so Zak was looking at the real cost structure of each region instead of a single blurred average, and handed him the dashboard that let him watch the number move.

The results: cost down ~40%, reinvested in growth

From there, the wins were Zak's. He finally had his cost drivers in plain sight, and he started pulling the levers the model had pointed to. Within a few short months, the cost metric was down almost 40%. The engagement returned about 10 to 1. And Zak did the thing every owner hopes savings will let them do: he put the money back into growth, expanding aggressively and bringing the service to more clients.

The late nights with the spreadsheet were over, and he was running the business from numbers he could finally trust.

Your turn

Find your own profit leak

Vixster's problem is one every operator knows: costs creeping up, a spreadsheet that will not explain why, and decisions made on a hunch. The fix was not more data. It was seeing the few levers that actually moved the number.

If you run a home services company, the same kind of hidden money is almost certainly sitting in your operation, in the minutes after a lead arrives or in a channel that quietly costs more than it returns. A free Profit Leak Audit finds it, in dollars, from your own numbers, read only and yours to keep.

You already paid for the work. Find out what it is worth.

Book a Profit Leak Audit