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See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

INDUSTRY · TRANSPORT & LOGISTICS

Rapidly compose AI-powered solutions across the transport & logistics value chain.

Real-time fleet intelligence, predictive maintenance and agentic operations across rail, road and sea — from asset health to route optimisation.

TARGETED OUTCOME
5-10% Reduced maintenance costs
TARGETED OUTCOME
10-20% Increased equipment uptime
TARGETED OUTCOME
20-50% Decreased maintenance planning time
TARGETED OUTCOME
40-60% Reduced MTTR (mean-time-to-repair)
TARGETED OUTCOME
10-30% Increased asset service life
TARGETED OUTCOME
45% Increased amortisation in year one
TARGETED OUTCOME
10-25% Reduced carbon emissions
TARGETED OUTCOME
1.5–2x ROI on ESG investment

*Targeted outcomes with indicative ranges · actuals vary by environment.

THE IMPACT

What changes when XMPro lands in transport & logistics.

TODAY · TRANSPORTFRAGMENTED
×
Equipment downtime is reactive across the fleet
×
Fleet challenges are diagnosed across siloed dashboards
×
Route variability erodes service performance
×
Maintenance costs spiral with reactive repairs
×
Fleet fuel efficiency is unmeasured at scale
×
Delays and scheduling conflicts cascade through operations
×
Passenger safety risks diagnosed after the fact
×
Siloed data across telematics, ERP and depot systems
×
Operational fault ambiguity slows dispatcher decisions

THE OPERATING LOOP

Detect. Decide. Coordinate. Execute.
01 DETECT

Monitor & Sense

150+ OT/IT connectors. Real-time data streams from sensors, historians, SCADA, ERP.

→
02 DECIDE

Analyse & Recommend

AI agents analyse operational context via OIM. Confidence-scored recommendations.

→
03 COORDINATE

Orchestrate Response

MAGS agents negotiate, delegate, and sequence across systems and teams.

→
04 EXECUTE

Act Autonomously

Governed execution within defined boundaries. Full audit trail. Human override.

Most platforms stop at Detect. XMPro completes the loop.

SOLUTION OFFERINGS

Solution categories for transport & logistics.

The disciplines XMPro deploys across this industry — each chip filters the solutions library to use cases of that type.

SOLUTIONS FOR TRANSPORT & LOGISTICS

Pre-scoped use cases for transport & logistics.

Each one names the operational problem, the signals the platform watches, and the governed action it drives. Filter by category or solution type — or search.

4 use cases
CONDITION MONITORING

Bogie Health Monitoring

Live wheel-wear, axle-load and bearing-temperature signals tied to predicted bogie failure modes across the fleet.

DEMAND PLANNING

Demand Planning & Stockholding Reduction

Demand-forecasting and inventory optimisation across the store estate — less dead stock, fewer revenue-losing stockouts.

PREDICTIVE MAINTENANCE

Derailment Prevention via Track Geometry

Real-time track-geometry monitoring with predicted deviations ranked by derailment risk.

CONDITION MONITORING

Rail Wheel & Track Wear Monitoring

Live wheel and track wear monitoring with predicted RUL, ranked recommendations and per-asset 2D/3D drill-down.
Browse the full Solutions Library →

PRODUCTION-PROVEN

Not a concept. In production.

XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

READY TO START

Let’s map your transport & logistics path to autonomy.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or explore the platform yourself in the Demo Hub.