HBO Taxi · Digital mobility and real-time dispatch engine
Case study on building a sub-100ms real-time fleet dispatch platform, mobile apps, and route optimization engine for Munich-based HBO Taxi.
HBO Taxi is one of the premier commercial passenger transportation networks in the Munich metropolitan area, orchestrating hundreds of active vehicles and serving thousands of corporate clients daily. High licensing costs and high latency of third-party dispatch software prompted the development of a custom, proprietary platform.
The Challenges
- Telemetry & Latency Bottlenecks: Peak hours caused position tracking delays exceeding five seconds on legacy SaaS architectures.
- Dispatch Inefficiencies: Manual order distribution increased driver idle time and passenger wait times.
- Data Sovereignty: Proprietary operational data resided on third-party servers without full compliance with German data privacy standards.
The Architecture Solution
Deuthse designed an event-driven, distributed system architecture:
- Real-Time Telemetry Engine: Low-latency WebSocket data layer (sub-100ms) powered by Node.js and Redis Pub/Sub.
- Native Mobile Applications: High-performance driver and passenger apps built with React Native for fluid user experiences.
- Automated Dispatch Algorithm: Dynamic routing and order distribution taking into account real-time traffic conditions and driver shift regulations.
- European Data Sovereignty: Hosted on secure German Hetzner Cloud infrastructure with end-to-end encryption.
Measurable Outcomes
- Driver idle time reduced by 32%.
- Average order dispatch time dropped from 45 seconds to 2.4 seconds.
- Total vendor lock-in eliminated through complete handover of source code and infrastructure blueprints.
- 40% Increase in Fleet Dispatch Efficiency
- <100ms Low-Latency WebSocket Telemetry & Tracking
- High Availability & Resilient Production Uptime
- 100% Full Source Code & Intellectual Property Handover
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