Case Study
Waste Sensors For Measurable and Efficient Waste Programs

Case Study
Waste Sensors For Measurable and Efficient Waste Programs

CLIENT

A group of 14 residential communities

SUMMARY

The installation of 175 smart waste sensors, which remotely monitored dumpster fullness and contamination levels, delivered more accurate waste data. The data was used to right-size equipment and service levels to achieve a 14% decrease in waste costs, and improve service.


PROBLEM/SOLUTION 

The facility manager in charge of the 14 residential communities wanted to reduce waste costs while improving service and sustainability metrics. To do that, they needed accurate waste data. Great Forest turned to a high-tech solution, installing 175 smart wireless waste sensors across the properties’ waste dumpsters.

Great Forest managed the seamless installation of the sensors with no interruption to waste removal services. The sensors were able to deliver real-time, accurate data on fullness and contamination levels that was accessible online.  For the first time, the client was able to see that some of their dumpsters were being picked up half full. Using the data, Great Forest was able to decrease the frequency of pickups for the identified half-filled dumpsters. In addition to right-sizing service levels, Great Forest was also able to right-size service equipment to match waste generation.

Further analysis of the data by the Great Forest team revealed patterns in service disruptions. With this verified data, Great Forest was able to work with the hauler to make improvements.

RESULTS

  • The client saw its waste costs decrease by 14% through the optimization of service schedules.
  • The verified data provided by the sensors enabled Great Forest to demand more accountability from the waste hauler and improve service.
  • Overall, the sensors made the client’s waste program more measurable and efficient for their properties.
Great Forest