CollectorOPT

The Challenge

RPM ECO, a leader in waste collection, is seeking to transform its approach to residual material management through the integration of artificial intelligence. The waste management sector is currently grappling with major inefficiencies, most notably, the lack of precise forecasting on the volume of materials to be collected. This often results in empty or unnecessary stops, and trucks operating at just 50% of their capacity. OSCAL.AI Inc. emerged as an internal innovation initiative within RPM ECO, before evolving into an independent company. Its mission is to develop intelligent, data-driven solutions that revolutionize how materials are collected and managed. By leveraging customer data and vehicle-specific parameters, OSCAL’s platform generates predictive insights that enable collection to be dynamically optimized based on real-time and forecasted demand, rather than rigid, preset schedules. This enhances operational efficiency, reduces environmental impact, and maximizes fleet utilization.

Within this ecosystem, OSCAL is focused on scaling its predictive intelligence platform, expanding its capabilities in machine learning and operational optimization, and forming strategic partnerships that accelerate the deployment of AI in smart logistics and sustainability-driven industries.