Smart Waste Routing and Monitoring System for the Island of Brač

Brač faces significant logistical and environmental challenges in waste management, with over 1,200 collection points spread across rugged terrain and managed by multiple service providers.
Our proposal delivers a scalable, AI-powered system that integrates geolocation-based container identification, real-time route optimisation and digital monitoring.
Designed for adaptability, the solution improves service efficiency, supports performance-based billing and supports temporary drivers - particularly important during peak tourist seasons.
It meets the modernisation objectives of the Croatian Fund for Environmental Protection and Energy Efficiency by contributing to digitisation, emission reduction and transparency in waste collection.

1. Operational and economic:
Up to 20% reduction in fuel consumption through optimised routes.
10-15% increase in route efficiency and coverage.
Improved resource planning and reduced vehicle wear and maintenance.
Easier on-boarding and better performance from seasonal drivers.

2. Environmental:
Direct reduction in CO₂ and NOx emissions from fewer kilometres travelled.
Improved waste separation and recycling rates through better monitoring and reporting.
Improved air quality and reduced noise pollution in residential and tourist areas.

3. Service and policy alignment:
Supports performance-based billing through accurate container tracking and emptying records.
Meets national reporting requirements and aligns with the goals of the Croatian Environmental Protection and Energy Efficiency Fund.
Improves community satisfaction through more reliable, transparent waste services.

4.Scalability:
Can be implemented in phases in different municipalities.
Modular architecture allows scalability to other Croatian islands or continental municipalities.

IS Data Solutions is a Spanish technology company founded in 2013 that specializes in digital transformation, data science, and artificial intelligence for industrial and public-sector clients. We have implemented AI-based route optimization and logistics systems in sectors such as waste management, forestry, logistics, and urban mobility. Our cross-functional team includes data scientists, GIS specialists, and process engineers who work closely with clients to co-design sustainable, effective, and user-friendly solutions.

We are experienced in delivering modular platforms tailored to complex terrains and multi-stakeholder environments. Our tools are built with user experience, operational flexibility, and environmental responsibility in mind.

- Relevant projects:
Smart forest crew planning and route optimization (Spain).
Urban logistics optimization for leading third-party logistics (3PL) operators.
AI-based assistant for waste separation and service inquiries.

- Technologies used:
Python, TensorFlow, PyTorch (AI/ML)
QGIS, Leaflet, OpenStreetMap (GIS)
Docker, Kubernetes (deployment)
Custom mobile interfaces (Flutter, React Native)

- Partners:
Collaborations with municipalities, environmental agencies, and transport authorities.

Phase (Duration) Est. Cost (€) Key Deliverables
1. Needs Analysis & Pilot Design (2 months) 25,000 € Inventory mapping, stakeholder interviews, pilot plan
2. Development & System Integration (4 months) 80,000 € Core platform, mobile app, route engine
3. Pilot Deployment (Supetar + 1 area) (3 months) 45,000 € Live test with real drivers, container tagging, dashboards
4. Full Rollout Island-wide (4 months) 100,000 € Scale to 1,200+ locations, multi-provider support
5. Training, Support & Maintenance (1 year) Ongoing 30,000 € Helpdesk, training sessions, system updates

Total Indicative Budget: 280,000 €

Co-funding and staged rollout options available to align with local development grants and fund disbursement cycles.