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Industrial Plant Saves $5,000 in Just One Month with Predictive Monitoring

An industrial plant was averaging three hauls per week at 4.4 tons per haul. In just one month DSQ Pioneer Compactor monitor increased tonnage efficiency by 135%.

DSQ Case Studies
DSQ Pioneer
Industrial Plant Saves $5,000 in Just One Month with Predictive Monitoring
Published on
December 22, 2025
The Results
135%
Tonnage Increase
57%
Invoice Savings

A multi-location industrial client was averaging three pickups per week with really low tonnages per haul at one location. They wanted to maximize their haul efficiency and reached out to us for help.

How did we improve it?

By installing the DSQ Pioneer Compactor Monitor, the hauling strategy changed. The location transitioned from 3x week schedule to on-call pickups. It didn’t take much for the monitor to learn about the location’s compactor usage patterns and start self-scheduling hauls based on its predictive model. This immediately reduced the number of monthly hauls per location, reducing both GHG emissions and trash invoices spent.

The results

In just one month, DSQ Pioneer Compactor Monitor completely changed the game and saved thousands for this industrial plant. The DSQ Pioneer’s predictive model eliminated eight hauls and increased tonnage efficiency by 135%. At $625 per haul, this equates to $5,000 in avoided hauling costs, which is a 57% decrease. The savings in one month paid their entire contract with money left over.

The DSQ Pioneer Compactor Monitor

The DSQ Pioneer Compactor Monitor predictive model self-schedules hauls when a compactor is about to reach the desired fullness. This allows properties to significantly reduce trash spend and optimize their hauls.

Its easy use and installation provides locations with:

  • Predictive hauling technology
  • Real-time data insights
  • Compactor fullness measurement
  • Proactive haul schedule

Check out how the Pioneer Compactor Monitor works here.

‍

December 22, 2025

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University Campus Saved $56k In Trash Costs By Reducing Inefficient Compactor Hauls

A large Southern university was experiencing inefficiencies across its campus waste operations. With limited visibility into actual compactor fullness, service levels remained disconnected from real demand, particularly during seasonal occupancy shifts at summer and winter breaks.
Published on
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$18,401 Saved in Under a Year After a Luxury Apartment Complex Replaced Weekly Hauls With Compactor Monitoring

The complex saved thousands by reducing hauls while avoiding packouts.
Published on
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Massachusetts Property Optimizes Compactor Fullness with DSQ Pioneer Compactor Monitor

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 pickups and paying for hauls that didn’t need to happen
Published on

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