Transport & Logistics

Real-time, resilient supply chains

Track every shipment, plan routes with data and automate operations with AI agents.

  • End-to-end shipment visibility
  • Faster responses to disruption
  • Automated, efficient operations
Transport & Logistics illustration
The challenge

What transport & logistics organisations face

Logistics businesses run on tight margins and time windows. Disconnected fleet, warehouse and customer systems make it hard to see what is happening in real time, and every disruption costs money and customer trust.

Example engagement

How a typical project comes together

An illustrative example of how we would approach a common transport & logistics scenario.

The situationA distribution company relying on phone calls and spreadsheets to manage delivery exceptions.
Our approach
1Connect data sources
2Live dashboard
3Exception alerts
4AI triage agent
5Customer updates
The outcomeA live view of every delivery, faster handling of exceptions, and customers kept informed automatically.

Illustrative scenario, not a specific client case study.

By the numbers

Why it matters in Transport & Logistics

42%

Of one year's EBITDA: expected supply chain disruption losses over a decade.

Source: McKinsey Global Institute, 2020
3.7 years

Average interval between supply chain disruptions lasting a month or more.

Source: McKinsey Global Institute, 2020
15%

Of day-to-day work decisions expected to be made autonomously by AI agents by 2028.

Source: Gartner, October 2024

Industry figures from the sources shown. Your own results will vary.

Standards

Frameworks we help you meet

  • ISO 27001
  • Cyber Essentials
  • UK GDPR
  • NIS Regulations

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