A city was spending 40% of its waste management budget on inefficient fixed-route collection, with bins often collected when half-empty.
Team
6 IoT engineers + 2 data engineers
Timeline
18 weeks end-to-end
Client
City Municipality (Smart City Initiative)
Outcomes Delivered
38%
Collection Cost Reduction
6,000+
Smart Bins Deployed
52%
Fuel Consumption Reduction
Piloted 500 smart bin sensors across 3 high-density districts before full rollout, validating sensor accuracy and connectivity in urban environments.
Built a dynamic routing engine that generates optimised daily collection routes based on real-time fill levels, replacing fixed weekly schedules.
Developed a fleet management dashboard for the waste management authority showing vehicle locations, route progress, and bin status in real-time.
Implemented predictive fill modelling that anticipates bin fill rates based on historical patterns and local event calendars.
Delivered a public-facing portal where residents can report overflowing bins and track collection schedules for their street.
Deployed IoT fill-level sensors on 6,000 bins with a dynamic routing engine that optimises collection based on real-time fill data.
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