• Fully replaces dispatcher functions by automatically generating optimal routes and schedules for drivers.
• Simplifies monitoring of container and fleet conditions, enabling timely issue detection and resolution.
• Integrates with 1C to accelerate document processing and reduce manual workload.
• Provides real-time insights into essential business metrics, improving operational control.
Raccoon AI’s digital twin provides a clear view of your waste collection processes, enhancing control and efficiency. See how routes, driver schedules, and container utilization work together, while automating tasks and cutting expenses.
Key Technologies
AI Routing
By leveraging machine learning, we enhance vehicle routing based on real-time traffic data, container fill levels, and historical data, allowing us to minimize mileage and reduce fuel consumption.
Large Language Model
Interact with data using natural language queries: gain analytical insights, generate reports, and view key performance indicators (KPIs) without the need for technical expertise.
Sensor systems
Track container fill levels and vehicle locations using built-in sensors. Data is transmitted in real time, ensuring accurate decision-making.
Digital Twin
Raccoon AI creates a digital model of a company’s waste management processes, visualizing operations and enabling real-time monitoring and optimization.
The platform integrates artificial intelligence, IoT sensors, machine learning, and advanced analytics tools to optimize operations, reduce operating costs, and provide real-time insights for waste management companies.
The market for mid-sized waste management companies (with a fleet of 10 trucks and 450 containers) is valued at over $62 billion annually. By offering a full-featured platform, Raccoon AI is poised to capture a significant market share and deliver tangible value to companies seeking to optimize their operations.