IndustriesMobility & Logistics

Orchestrating movement with software precision

Operational platforms, tracking & orchestration systems, mobility marketplaces and AI efficiency, for companies that move the world.

1M+Trips managed per day
50K+Deliveries processed per day
97%On-time delivery rate
25%Delivery cost reduction
// OUR DIFFERENTIATOR

Logistics engineering at real operational scale.

industry.approach
Event streaming at scale
Sub-second dispatch
Real-time route optimization
Live tracking state management

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))

0M+Daily events processed in real time
industry.approach
ML route optimization
Dynamic capacity planning
Multi-constraint solver
Driver behavior analytics

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))

0%Delivery cost reduction with AI routing
// 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.

  • Fleet management
  • Driver/courier apps
  • Control tower dashboards
  • Real-time tracking

Tracking & Orchestration

End-to-end shipment tracking, route optimization and multi-carrier orchestration for complex logistics operations.

  • Shipment tracking
  • Route optimization
  • Multi-carrier APIs
  • Last-mile orchestration

Mobility Marketplaces

Two-sided marketplace platforms connecting shippers and carriers, drivers and passengers, with dynamic pricing and matching algorithms.

  • Carrier/shipper matching
  • Dynamic pricing
  • Matching algorithms
  • Rating & reputation

Multi-System Integration

TMS, WMS and ERP integration hubs that unify fragmented logistics technology stacks into a coherent operational layer.

  • TMS integration
  • WMS connectivity
  • ERP connectors
  • Real-time synchronization

AI Efficiency

Demand forecasting, intelligent routing, predictive capacity planning and operational anomaly detection for logistics networks.

  • Demand forecasting
  • Intelligent routing
  • Capacity planning
  • Anomaly detection
// CASE STUDIES

Results in production.

Logistics Operator

B2B Freight Marketplace

Carrier-shipper matching platform processing 50K+ daily shipments with AI pricing and 99.5% on-time delivery rate.

Mobility MarketplaceAI Efficiency
Urban Mobility Company

Real-Time Operations Platform

Driver management and dispatch platform serving 1M+ daily trips with sub-second matching and real-time route optimization.

Operational PlatformsTracking
E-commerce Giant

Last-Mile Orchestration

Unified last-mile orchestration layer integrating 20+ carriers, reducing delivery costs by 25% and improving OTIF to 97%.

Multi-System IntegrationOrchestration
Lumia AI

AI that optimizes every route, fleet and logistics decision.

Lumia AI brings route optimization, demand forecasting, dynamic pricing and supply chain anomaly detection, processing millions of events per day with real-time decisions.

Explore Lumia AI

Módulos & capacidades

Real-time route optimization
Per-zone demand forecasting
Dynamic freight pricing
Intelligent shipper-carrier matching
Supply chain anomaly detection
Delay prediction & SLA risk
Fleet efficiency analysis
Operational report automation

// 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.