IoT and telematics
Connect vehicles, equipment and sites, and bring their data together in one place.
Connected, automated operations for how vehicles and goods move.
We combine IoT, automation, computer vision and analytics to give operators real-time visibility, fewer manual steps and better decisions across fleets, sites and supply chains.
Our experience
Our experience in transport and logistics spans IoT, automation and computer vision, from connected fleets and sites to vehicle recognition and access control. The sections below describe the problems we help solve.
Challenges in the sector
Limited real-time visibility
Vehicles, shipments and assets are tracked in separate systems, so delays and exceptions are found late.
Manual, paper-heavy processes
Checks, handovers and documents such as delivery notes and customs paperwork are handled by hand, which is slow and error-prone.
Unplanned downtime and costly maintenance
Vehicles and equipment are serviced on fixed schedules or after a failure, rather than when the data says it is needed.
Plans that cannot keep up with change
Routes, loads and capacity are planned in advance, then disrupted by traffic, weather and demand.
Where we can help
Tracking and ETA prediction
Give operations and customers a live view of assets and shipments, with early warning of delays.
Predictive maintenance
Use sensor and telematics data to anticipate faults and plan maintenance before they cause downtime.
Computer vision
Automate visual checks such as vehicle and container identification, site access, loading and damage inspection.
Process and document automation
Extract and validate data from delivery notes, invoices and shipping documents, and automate routine handoffs.
Planning and optimisation
Forecast demand and optimise routes, loads and schedules using your operational data.
Typical use cases
- Fleet and asset tracking with live status and ETA
- Predictive maintenance for vehicles and equipment
- Route and load optimisation
- Warehouse, depot and yard automation
- Vehicle and container identification for site access, parking and tolling
- Automated processing of delivery, customs and shipping documents
Technical foundations on AWS
Data from devices and cameras is processed at the edge where it makes sense, then stored, analysed and integrated with back-office systems on AWS.
- AWS IoT Core
- Amazon S3
- Amazon SageMaker AI
- AWS Lambda
- Amazon CloudWatch
- Edge processing reduces bandwidth and keeps raw video and unnecessary data out of central systems.
- Open interfaces make it easier to connect existing transport management, warehouse and ERP systems.
Security, governance and operations
Privacy by design
Where cameras are used, we send only the data needed rather than video, to support data protection requirements such as GDPR. Retention and access are set by policy.
Accuracy monitoring
Model and sensor accuracy is measured in real operating conditions and reviewed.
Human review
Uncertain results and disputed cases go to a person.
Clear purpose
Data is collected and used only for the defined purpose.
Related services
- Data & AnalyticsData pipelines, lakes and warehouses, business intelligence, real-time analytics and machine learning on AWS.
- Security & ResilienceCloud security, backup and disaster recovery on AWS, designed to your recovery objectives and audit needs.
- AI for Business OperationsAutomate repetitive, rule-based and document-heavy work with AI, from reconciliation to document processing, with people reviewing the exceptions.
Related insights
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