The SmartWaste Logistics Optimizer leverages IoT sensors placed within waste containers to continuously monitor fill levels, weight, and type of waste.

This data is sent in real time to a cloud-based platform that uses advanced analytics and machine learning algorithms to determine the most efficient collection schedules and routes.

The platform integrates with GPS systems of waste hauling trucks and collects real-time traffic and weather data to further enhance route optimization.

Waste producers and haulers can access a dashboard to track vehicle locations, estimated times of arrival, and any potential delays.

The technical feasibility is high due to the widespread availability of IoT devices and cloud computing platforms.

However, initial setup costs and integration with existing systems could pose barriers.

Regulatory hurdles exist due to strict compliance standards, but the use of real-time monitoring and reporting can facilitate easier adoption of regulations.