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Industry

Systems that keep operations moving

Operational software, integration and analytics for transportation, logistics and public infrastructure organizations.

The situation

What we typically find

These are the conditions that usually bring an organization to us.

  • Visibility across assets, routes and schedules
  • Integration between operational and planning systems
  • Field and offline-capable applications
  • Reporting for operational and regulatory needs

Capabilities

What we deliver

Operational applications

Dispatch, scheduling and field tooling.

Integration

Connecting operational, asset and planning systems.

Analytics

Performance, utilization and exception reporting.

Mobile and field systems

Applications that work in poor connectivity.

What we build

Systems we deliver in this sector

Dispatch, scheduling and asset tracking applications

Field and driver applications that work with intermittent connectivity

Integration between operational, asset management and planning systems

Utilization, exception and regulatory reporting

Public-facing status and information services

Constraints we design around

What makes this sector different

Connectivity cannot be assumed

Field applications are built offline-first, with conflict handling designed in rather than discovered later.

Operations run continuously

There is no quiet window, so releases are incremental and independently reversible.

Experience

Relevant experience

Manufacturing

Product traceability and production management

Challenge
Production and supply records were held in systems that could not be reconciled, so a unit could not be traced back through its production history.
Approach
Built a shared traceability record spanning production and distribution events, with each step written once and readable by every downstream system.
  • Distributed ledger
  • Systems integration
  • Web application

Operations

Online warehouse management system

Challenge
Stock movement, locations and fulfilment status were tracked manually, leaving inventory accurate only as of the last count.
Approach
Modelled the real warehouse process first — receiving, put-away, picking, dispatch — then built to it rather than to a generic inventory template.
  • Web application
  • Relational database
  • Role-based access

Applied AI

Voice-driven AI reservations and ordering

Challenge
Orders and reservations arrived by phone and had to be transcribed by staff, which capped throughput at busy periods.
Approach
Applied speech recognition and intent handling to the narrow, high-volume part of the conversation, leaving staff to handle exceptions.
  • Speech recognition
  • Natural language processing
  • Mobile application

Talk to an Expert

Describe the problem and the constraint. We will tell you how we would approach it.