Case Study

Using your data, optimise garbage collection. Build models that predict where and when dumping might happen, helping authorities stop it before it starts.

Challenge

This initiative has been successfully implemented in a Belgian city. They were dealing with the following pressing challenges:

• Difficulty in collecting and integrating diverse data sources relevant to dumping patterns
• Complexity in developing accurate predictive models for varied urban environments
• Ensuring model outputs are actionable for law enforcement and sanitation teams
• Balancing privacy concerns with the need for detailed location-based data

Roles

This initiative usually involves the following people & roles. They can be found either within your organisation or at a consulting partner.

• Data Scientist
• Urban Planning Specialist
• Environmental Enforcement Officer

Impact

After a routine check-up with our clients, we confirmed several of the below improvements:

1. Prevention: Significantly reduced complaints about illegal dumping through proactive measures
2. Efficiency: Optimized resource allocation for monitoring and clean-up efforts
3. Cost Savings: Decreased expenses related to waste management and site remediation
4. Environmental Protection: Improved urban cleanliness and reduced environmental damage
5. Community Engagement: Increased public awareness and participation in anti-dumping efforts