The garbage output has been climbing sharply because of urbanization and increase in population, it's being critical to have efficient waste management. EcoTrack, an integrated IoT and AI-based smart waste management system has been designed to increase the trash and garbage collection efficiency. The system detects the level of garbage using IoT sensors and employs SARIMA-based predictive analytics to recommend the optimum garbage pickup routes. The proposed strategy aims to improve and simplify collection schedules and reduce environmental impact. Additionally, EcoTrack offers a real-time dashboard which monitors the garbage accumulation, and shows analytics for better decision-making, and a dynamic route recommendation system is provided for local authorities. With these enhancements, the system significantly boosts waste collection efficiency, promotes recycling, and reduces operational costs. © 2025 Elsevier B.V., All rights reserved.