Wastech provides an IoT‑enabled waste management platform that equips bins with ultrasonic fill‑level sensors, solar‑powered compactors and RFID tags, transmitting real‑time data to a cloud analytics service. AI forecasting and dynamic route optimization integrate with GPS fleet tracking to reduce collection trips, while a mobile app alerts crews to imminent overflows and supports task assignment. The solution also offers API integration for municipal or commercial ERP systems.
Funding
Funding not disclosed
Founders
Product
Problem
Municipalities and commercial waste operators often rely on static collection schedules and manual bin checks, leading to frequent overflows, inefficient routing, high labor costs, and missed recycling opportunities.
Solution
Wastech delivers an end‑to‑end smart waste management ecosystem that combines IoT‑enabled bins with a cloud‑based analytics platform. Ultrasonic fill‑level sensors and solar‑powered compactors transmit real‑time data to a centralized dashboard, where AI algorithms predict fill trends and recommend optimal collection routes. Integrated GPS fleet tracking and dynamic route planning reduce travel distance and fuel consumption. A mobile app alerts crews to imminent overflows and enables assignment of specific bins to team members. The system also supports RFID bin identification, AI‑driven waste sorting, and secure API integration with existing ERP or municipal platforms, turning raw sensor data into actionable operational insights.
Target Audience
Primary customers are municipal waste departments, private waste collection firms, and large‑scale facilities such as industrial campuses or university complexes that require data‑driven optimization of their waste logistics.
Features
- Ultrasonic radar sensors in each bin provide centimeter‑accurate fill‑level measurements transmitted via LTE/5G to the cloud.
- Solar‑powered compactors reduce bin volume, extending service intervals while maintaining a low carbon footprint.
- AI‑based forecasting engine analyzes historical and real‑time data to generate predictive fill curves and automatic route optimization.
- GPS‑enabled fleet management module delivers turn‑by‑turn navigation and live driver performance metrics.
- RFID‑tagged bins enable automated identification, audit trails, and secure access control through smart locks.
- AI vision cameras on select bins detect material composition, improving recycling rates and contamination monitoring.
- Web dashboard and RESTful API expose key performance indicators, custom reports, and integration hooks for ERP or GIS systems.
- Mobile app for field crews provides push notifications for near‑full bins, task assignment, and on‑site issue reporting.