This operator replaced hauling guesswork with DSQ Pioneer's predictive technology and eliminated 600+ unnecessary hauls.

A multi-family property in Massachusetts noticed what appeared to be overflowing trash during weekends, even though data later showed the compactor barely ran during that time. The team was scheduling unnecessary hauls and paying for hauls that didn't need to happen

A prominent hotel in Cleveland was operating its trash compactor on a fixed weekly schedule. This led to low-tonnage hauls, unnecessary service costs, and a lack of visibility into actual waste generation patterns. DSQ Pioneer solved the problem.

An industrial plant in Alabama was locked into a biweekly haul schedule. Each haul averaged only four tons, meaning the property paid for ineffective hauls. This led to low efficiency and high waste management costs.

An apartment complex in Texas was looking to reduce weekly hauls while improving sustainability. The DSQ Pioneer Compactor Monitor became the solution.

A large complex with four functioning compactors had all of them on the same account and service schedule. Thanks to DSQ Pioneer, the complex noticed that the hauler was reporting tonnage amounts to the wrong compactor 75% of the time. This meant expensive trash invoices for the complex and a compactor being over-reported by nearly 200%.

A Southern university was facing issues with its hauler. Missed hauls, a set weekly schedule and low tonnage across multiple compactors were part of their day-to-day waste management headaches. This resulted in uncertainty about the hauler's schedule and haul times or dates.

A Texas Multifamily Property Fixed an Inefficient Haul Schedule and Cut Trash Invoices by $10k

A multi-family building in Nashville used real-time data to renegotiate its hauler contract.