Development of a Serverless Automated Data Processing System for Urban Waste Collection Scheduling

The client faces challenges in accurately publishing waste collection schedules across multiple channels due to inconsistent and partially manually edited source data. This leads to errors, miscommunication, and increased operational costs, necessitating an automated, reliable data correction and dissemination solution.

A municipal waste management organization responsible for scheduling and disseminating waste collection information across a city using digital and print channels.

• Automate the correction of imported waste collection schedule data to ensure accuracy across all communication channels.
• Reduce manual intervention in schedule management, minimizing errors and operational overhead.
• Enhance data quality through algorithmic correction of schedule, address, and date inconsistencies.
• Optimize printing schedules to decrease printing costs while maintaining communication effectiveness.
• Implement a scalable, cloud-based solution to handle all city buildings and addresses efficiently.

• Automated data import module with correction algorithms for schedule and address inconsistencies.
• Functionality to manually correct individual date entries within the schedule calendar.
• Web-based portal for public viewing of waste collection schedules per address.
• Integration with external printing services for batch schedule printing with cost optimization.
• Cloud hosting for scalability and reliability, supporting real-time data updates and dissemination.

• External data sources for schedule imports
• Print service modules for batch schedule printing
• Web hosting and CDN services for schedule dissemination

• System should handle data for all city addresses with high reliability and uptime (99.9%).
• Data correction algorithms must operate in real-time to ensure timely updates.
• Scalable cloud architecture to support increasing data volume as city grows.
• Data security, ensuring compliance with privacy standards for public information.

The deployment of an automated, cloud-based waste collection data processing system is expected to significantly improve data accuracy, reduce manual correction efforts, and lower printing costs through schedule optimization. This will enhance public communication efficiency, maintain high reliability, and support scalable future growth, contributing to better urban waste management operations.