Case Study - Optimizing logistics at scale
Koleo is a route optimization platform for regional logistics companies. We built a system that reduced delivery times by 34% and cut operational costs across their entire fleet.
- Client
- Koleo
- Year
- Service
- Custom platform development
Overview
Koleo operates a regional delivery network across Central Europe, managing hundreds of vehicles and thousands of daily routes. Their dispatchers were coordinating everything through spreadsheets and phone calls — a process that couldn't scale and led to inefficient routing, missed deliveries, and rising fuel costs.
They came to us looking for a system that could handle real-time route optimization, driver assignment, and fleet-wide visibility. The goal was simple: deliver more packages in less time with fewer resources.
We engineered a platform with a real-time optimization engine at its core. The system ingests live traffic data, vehicle telemetry, and delivery constraints to generate optimal routes on the fly. Dispatchers get a unified dashboard showing fleet position, delivery status, and predicted ETAs — replacing the chaos of manual coordination with a single source of truth.
The driver-facing mobile interface provides turn-by-turn navigation, proof-of-delivery capture, and instant communication with dispatch. The entire system was architected for high-throughput real-time updates and geospatial intelligence at scale.
What we did
- Custom platform
- Real-time systems
- Dashboard engineering
- API architecture
Studio Grom built exactly what we needed — a system that adapts to the chaos of daily logistics. Our dispatchers can't imagine going back to the old way.
Operations Director at Koleo
- Faster deliveries
- 34%
- Routes per dispatcher
- 3x
- System uptime
- 99.7%
- Annual savings
- €400K