The current state of AI in transportation and logistics
Optimisation & efficiency
Route optimisation & fleet management
E-commerce expansion and shifting operational requirements have fundamentally altered how goods move through the supply chain. AI sits at the centre of this shift.
Data from the US Census Bureau’s Business Trends and Outlook Survey reveals that 40% warehousing and transportation businesses now employ AI-driven analytics, signalling maturity rather than simple experimental deployment. The uptake is markedly lower in Europe, with just 11% of EU road transport firms using AI, according to a 2025 survey by the International Road Transport Union.
Route optimisation is probably where AI makes the biggest difference day-to-day. Systems like Trimble Mapping and Routing pull in real-time data – think vehicle dimensions, tunnel restrictions and live traffic data – and constantly recalculate the best routes as conditions change throughout the day. It goes way beyond basic satellite navigation, though. Equipped with the right data, AI can consider road incidents, construction zones and severe weather when making routing decisions.
The environmental impact is worth noting, too: research from the World Economic Forum shows that AI-driven efficiency improvements like route optimisation can cut freight emissions by 10-15%.
The collaboration between SIMA and Trimble represents a strategic evolution in our approach to technological innovation applied to our Advanced Management System (SGA). The integration of Trimble’s commercial mapping solutions has allowed us to expand our platform's functionalities, improve its interoperability, data accuracy, and operational efficiency. It confirms our commitment to offering our customers advanced digital tools capable of concretely responding to the needs for traceability, automation, and process control.
Mauro Pederzolli
CEO, SIMA
The collaboration between SIMA and Trimble represents a strategic evolution in our approach to technological innovation applied to our Advanced Management System (SGA). The integration of Trimble’s commercial mapping solutions has allowed us to expand our platform's functionalities, improve its interoperability, data accuracy, and operational efficiency. It confirms our commitment to offering our customers advanced digital tools capable of concretely responding to the needs for traceability, automation, and process control.
Mauro Pederzolli
CEO, SIMA
Predictive maintenance is an increasingly common sight too, already a routine part of operations for many hauliers. It has an inherent advantage over traditional diagnostics, because it's constantly monitoring performance indicators and checking how components are wearing out in real-time.
Research from McKinsey indicates that predictive maintenance typically cuts unplanned downtime by between 30-50% and extends equipment life by 20-40%. Meanwhile, research by autonomous freight company Einride and Fraunhofer ISI showed that comprehensive AI implementation in fleet operations can reduce total ownership costs by up to 13%.
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Enhanced visibility and control
Real-time tracking and monitoring
These days, everyone expects to know exactly where their stuff is at all times. Whether it's cargo crossing oceans or a package arriving at someone's door, precise and continuous updates aren't nice-to-have features anymore—they're basic service requirements.
When visibility is poor, shippers face cascading customer service failures, while carriers waste hours fielding "where's my shipment?" calls that real-time tracking could eliminate entirely.
Lost or misrouted packages ultimately require expensive recovery efforts and can often permanently damage customer relationships.
Legacy logistics systems make these problems worse. Manual data collection creates delays and errors, static information systems provide outdated status updates, and fragmented communication between stakeholders forces companies into reactive rather than proactive management. AI-powered monitoring platforms address these issues through continuous, data-driven visibility solutions.
Of course, comprehensive information systems create substantial strategic advantages. AI-enhanced tracking platforms provide continuous location updates and shipment condition monitoring, generating operational insights that inform future strategic decisions. This enhanced visibility enables more accurate delivery predictions and supports proactive customer communication, improving customer satisfaction.
“With real-time visibility, customer and internal queries on order status decreased by 40%, leading to a direct reduction in personnel costs in internal sales and transportation planning.”
Ralf Klobes
Head of Transport Management at Saint-Gobain Isover
“With real-time visibility, customer and internal queries on order status decreased by 40%, leading to a direct reduction in personnel costs in internal sales and transportation planning.”
Ralf Klobes
Head of Transport Management at Saint-Gobain Isover
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Autonomous systems
Autonomous transport execution
Logistics automation goes far beyond self-driving trucks, aerial delivery systems, and mechanised port operations.
AI agents can solve matching capacity with shipping requirements through comprehensive automation of the freight coordination lifecycle. They can analyse multiple simultaneous data streams (for example, carrier location, trailer availability, historical route performance, weather conditions, and current market pricing) to identify optimal carrier matches instantaneously rather than through broad outreach campaigns. Performance simulations indicate substantial operational improvements from AI implementation. AI agents can process carrier communications with 95% accuracy while providing immediate responses to 80% of incoming queries. They can also negotiate rates against real-time market benchmarks, eliminating the delays inherent in manual price negotiation processes.
Take Transporeon’s Autonomous Procurement solution, which uses rule-based AI and behavioural science to automate spot buying and successfully secure capacity for shippers at cheaper rates 90% of the time.
We don’t need to speak only about the cost savings from the shipper side. With Autonomous Procurement, we have speed of decision, fewer manual decisions from the dispatching teams, and the carrier gets the guarantee that the shipment will be assigned as soon as possible. So, we are providing support to both parties equally.
Artem Gorodetsky
Tender Manager, Freight Procurement at James Hardie
We don’t need to speak only about the cost savings from the shipper side. With Autonomous Procurement, we have speed of decision, fewer manual decisions from the dispatching teams, and the carrier gets the guarantee that the shipment will be assigned as soon as possible. So, we are providing support to both parties equally.
Artem Gorodetsky
Tender Manager, Freight Procurement at James Hardie
AI-powered freight quoting platforms represent another transformative application within logistics. Machine learning models trained on billions of historical transactions predict optimal rates by synthesising market dynamics, equipment availability, lane characteristics, seasonal patterns and urgency indicators. These aren’t static formulas, but rather adaptive systems that incorporate win-loss outcomes to refine predictions continuously.
Behavioural analysis adds another dimension, tailoring offers to individual carrier preferences and negotiation patterns identified through previous interactions. Autonomous Quotation by Transporeon leverages AI to deliver instant and accurate quotes customised to specific market conditions, enabling carriers to increase their efficiency by 70% and win more business.
“We leverage Autonomous Quotation and Market Insights to reduce operational staff involvement in quoting process, enabling 24/7 operations. This AI implementation resulted in a 150% turnover increase with existing customers while allowing staff to focus on enhanced customer service."
- Chief Executive of a European logistics service provider
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Customer experience and service
Proactive communication
Customer satisfaction is a fundamental competitive differentiator in logistics, directly influencing retention rates and revenue growth. Organisations that consistently meet delivery expectations and maintain transparent communication typically achieve higher customer loyalty and even premium pricing opportunities.
AI-driven communication platforms can enhance customer satisfaction through comprehensive real-time information delivery, providing continuous shipment status updates and anticipating potential service disruptions before they impact delivery schedules. Rather than responding to customer inquiries reactively, AI platforms proactively communicate relevant information to the client based on shipment progress and identified risk factors.
Predictive analytics enable organisations to mitigate delivery delays through early intervention strategies. These systems process real-time operational data to identify developing issues – traffic patterns, weather conditions, vehicle performance indicators – and automatically adjust routing or scheduling parameters to maintain delivery commitments.
How customers benefit from predictive analytics systems
Self-service capability improves customer convenience and reduces operational overhead for logistics providers.
Customers receive updated delivery estimates based on current conditions rather than static scheduling assumptions
Real-time asset visibility creates operational transparency that builds customer trust and reduces service inquiry volume
Customers can access current shipment locations and status updates without requiring direct contact with customer service representatives
How does all this affect YOUR business?
Shippers
Instead of fielding calls about delayed deliveries, shippers can now receive automated alerts in real time — as AI systems predict disruptions and reroute trucks around traffic incidents before drivers even reach them.
Logistics service providers
Dispatch operations that once required six people now run with two — as AI systems handle load matching and carrier communications with 95% accuracy. This isn’t a future vision, but the new reality for logistics service providers in 2025.
Shippers
Instead of fielding calls about delayed deliveries, shippers can now receive automated alerts in real time — as AI systems predict disruptions and reroute trucks around traffic incidents before drivers even reach them.
Logistics service providers'
Dispatch operations that once required six people now run with two — as AI systems handle load matching and carrier communications with 95% accuracy. This isn’t a future vision, but the new reality for logistics service providers in 2025.
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