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An apartment complex in North Georgia had two compactors on site that were on a 2x a week pickup schedule. This resulted in constant hauls, which were expensive and ineffective for the location. Their property manager wanted to optimize trash spend and tonnage, so they decided to install a DSQ Pioneer Compactor Monitor.
As soon as the DSQ Pioneer Compactor Monitor was installed, it started learning from the compactor usage patterns. This allowed the property to go into “autopilot”. The predictive model allowed scheduled hauls to change to on-call ones scheduled for the day when the compactors were expected to reach target fullness.
By implementing DSQ Pioneer’s predictive model, 43.6% of pickups were avoided for the location.
These avoided pickups have allowed the location to save 43% on hauling costs in six months. This equals $13,783 in savings.
By avoiding scheduled pickups, DSQ Pioneer increased the average tonnage by 74% on both compactors.
GHG Emissions These avoided pickups resulted in a 43.7% reduction in GHG emissions for the location, which increased their sustainability.
The DSQ Pioneer Compactor Monitor predictive model eliminates the need for expensive and ineffective scheduled pickups. The monitor self-schedules hauls when a compactor is set to reach fullness, allowing properties to significantly reduce trash without any disturbance to tenants.
Its easy use and installation provide residential buildings with:
Check out how the Pioneer Compactor Monitor works here.