// Industries / Mobility & Logistics
Orchestrating movement with software precision
Operational platforms, tracking & orchestration systems, mobility marketplaces and AI efficiency — for companies that move the world.
// OUR DIFFERENTIATOR
Logistics engineering at real operational scale.
Real-time orchestration for millions of events
At one million daily trips, every second of orchestration latency is a cascading failure waiting to happen. Sciensa's event-driven architecture processes millions of position and demand events per minute without latency degradation. (McKinsey (2025))
AI routing that actually reduces costs
AI routing is not about finding the shortest path, it is about continuously re-optimizing across thousands of variables simultaneously. Logistics platforms with AI routing reduce operational costs by 15–20% and improve on-time delivery by up to 30%. (WEF (2025))
// WHAT WE DELIVER
Engineering for movement.
From fleet management to AI routing, every layer optimized for speed.
Operational Platforms
Fleet management, driver/courier apps and operational control towers for real-time visibility across logistics networks.
// CASES
Production results.
B2B Freight Marketplace
Carrier-shipper matching platform processing 50K+ daily shipments with AI pricing and 99.5% on-time delivery rate.
Real-Time Operations Platform
Driver management and dispatch platform serving 1M+ daily trips with sub-second matching and real-time route optimization.
Last-Mile Orchestration
Unified last-mile orchestration layer integrating 20+ carriers, reducing delivery costs by 25% and improving OTIF to 97%.
// Plataformas
Powered by Lumia AI.
Lumia AI brings route optimization, demand forecasting, dynamic pricing and supply chain anomaly detection, processing millions of events per day.
// FAQ
Frequently asked questions.
Trip orchestration matches supply with demand in real time across thousands of concurrent transactions. At 1 million daily trips, the system must make matching decisions in seconds while managing dynamic pricing, routing, ETA prediction and exception handling.
AI route optimization recalculates routes dynamically using real-time data, live traffic, weather, vehicle capacity, delivery time windows and driver availability, adapting to actual conditions rather than expected conditions.
A two-sided marketplace connects supply (drivers, vehicles, fleets) and demand (passengers, shippers). Engineering challenges include preventing market imbalances, pricing dynamically to balance both sides, and handling real-time geographic coordination.
Supply chain visibility means knowing the location and status of goods throughout the logistics network. With real-time tracking, exceptions are detected as they happen, enabling proactive rerouting before SLA violations occur.
Logistics software fails at scale because of relational database bottlenecks, synchronous architectures collapsing under concurrent updates, and monolithic systems that can't scale components independently. Prevention requires event-driven architecture and purpose-built time-series and geospatial data stores.
Ready to build your logistics platform?
Talk to our team about your mobility, tracking and operational orchestration challenges.