With +10,000 annual street cleaning requests, unhappy residents, and unsanitary streets, San Francisco was facing some serious waste challenges. In 2019, they embarked on a smart sensor journey.
Project Findings
80%
decrease in overflowing trash cans
66%
decrease in street cleaning service requests
64%
decrease in illegal dumping
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The Spanish capital was challenged by unpredictable recycling behavior and overflowing paper and cardboard bins. They began using data-driven waste insights to optimize their collection services and eliminate overflows.
Project Findings
46%
of bins were overflowing at service
26%
of collections could have been skipped
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A non-profit organization in Israel, Local Government Economic Services (LGES) works closely with municipalities to implement smart city technology and optimize waste services. 9 Israeli municipalities started using smart sensors to gain more transparency of waste generation behavior.
Project Findings
30%
reduction in driving distances
81%
of bins are now serviced at exactly the right time
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Facing budget and staff cuts, the university’s facility management needed a more efficient way of collecting trash. They decided to try a data-driven approach, where optimization and sustainability went hand in hand.
Project Findings
50%
reduction in fuel consumption
50%
reduction in working hours
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Goodwill Industries of Kanawha Valley, Inc. was facing overflowing clothing banks and lost donations. They looked to smart sensors and data insights to help them increase their resource efficiency and optimize their services.
“We’re now on track for the best month in donation collection. All because our team can dive into the data
and make better decisions.”
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