Challenge
- A municipal agency in Saudi Arabia faced challenges in traffic congestion, resource allocation, and service planning due to fragmented data sources.
- Without a unified analytics framework, public service efficiency suffered.
Our Approach
- Implemented an integrated smart city analytics platform.
- Developing real-time traffic monitoring dashboards, optimizing road planning.
- Using IoT-driven predictive maintenance analytics, reducing infrastructure failures.
- Automating waste management analytics, improving city-wide cleanliness and efficiency.
- Deploying AI-powered public sentiment analysis, enhancing citizen engagement strategies.
Outcome
- 20% reduction in traffic congestion, enhancing city mobility.
- 30% optimization in resource allocation, improving efficiency.
- 50% faster response times for public service requests.
