We talk a lot around here about dumpsters, pickups, and service schedules.

If you’ve been following us for any length of time, you probably know that most US companies get too much service, and that most of them have no idea.

But what you may not know is that we now have a new way to quantify what we know by experience.

We’ve recently partnered with Compology, a company that collects data on dumpster usage. They’ve created special cameras to measure data from inside the dumpster.

Why is this so important? Because our clients stand to save even more.

Compology’s dumpster cameras give us the following data:

How many actual pickups vs expected pickups
The average fullness at pickup.
Recent pictures of fill levels
Contamination stats

This information helps us know what your service needs actually are - and how/if the hauler is filling those needs.

It helps us ensure you’re paying for the right service levels. It makes sure you don’t pay for pickups that didn’t happen. And it keeps us up to speed on fluctuating service needs.

Without this data on waste expenses, you’re driving blind - and you’re probably paying for it.

Like many of you, data drives the core of what we do: help people save on their waste expenses.

When we want to get the whole picture of a company’s waste management process, we go to the invoices and contracts. These documents tell us the details of service: how often garbage is supposed to picked up, how often a particular location gets overage fees, what equipment is onsite. They also tell us who you’re working with to get trash service, and how long you’ve contracted with the service provider.

All of this information helps us determine where you’re overspending.

But this traditional date plus the new data we have access to increases your waste opportunities even more.

You can save by not paying for a missed pickup that would otherwise go unnoticed. You can save when the data shows us you only need twice a week service instead of three times a week.

Better data means better savings opportunities.

How are you optimizing data in your business?