Track Every Asset.
Eliminate Every
Blind Spot.
Kendaall Tracking delivers real-time visibility and predictive intelligence for locomotives, freight wagons, and industrial machinery across global logistics corridors. Know where your critical assets are, what condition they are in, and what will fail before it costs you.
Next-Generation Asset Tracking Is Not Simply Knowing Where Things Are
Industrial asset management has evolved far beyond basic GPS location services. Next-generation asset tracking integrates real-time positioning data with environmental sensor telemetry, machine learning anomaly detection, predictive failure modelling, and operational workflow automation into a single coherent intelligence layer.
For logistics operators managing locomotive fleets across thousands of kilometres of rail corridor, or for heavy industry deploying high-value machinery on remote mining sites and port facilities, the inability to see asset condition in real time is not merely an operational inconvenience — it is a financial liability. An unplanned diesel locomotive shutdown on a freight corridor costs between $15,000 and $65,000 per incident when accounting for missed hauls, crew reallocation, and emergency maintenance mobilisation.
Kendaall Tracking was built to resolve exactly this problem. Our platform continuously collects, interprets, and surfaces the operational data that keeps assets moving, keeps maintenance teams ahead of failures, and keeps logistics businesses competitive in increasingly demanding supply chain environments.
Asset intelligence is the continuous synthesis of positional, mechanical, environmental, and operational data to produce actionable insight about the condition, location, utilisation, and predicted behaviour of physical assets in service. Unlike conventional telematics, which reports location and basic speed, asset intelligence answers the harder question: what will this asset need, and when?
— Kendaall Tracking Platform PrinciplesCondition Monitoring
Multi-parameter sensor arrays capturing vibration, temperature, pressure, and acoustic signatures at the asset level.
Predictive Analytics
Machine learning models trained on historical failure datasets to project failure probability up to 120 hours in advance.
Fleet Optimisation
Route intelligence and utilisation analysis that identifies underperforming assets and redistribution opportunities.
Regulatory Compliance
Automated maintenance logs, duty-cycle records, and inspection documentation for regulatory and insurance requirements.
Downtime Reduction
Average across client fleets in the first 12 months of deployment
Platform Uptime SLA
Guaranteed and maintained across all production environments
Predictive Lead Time
Minimum failure-detection window enabling planned maintenance
Average Integration
Standard deployment timeline from device installation to full dashboard activation
Built for the Demands of Industrial-Scale Operations
Kendaall Tracking was engineered from first principles for the harsh realities of heavy logistics — remote environments, intermittent connectivity, extreme temperatures, and the financial consequences of getting asset intelligence wrong.
Hardened for Remote Environments
Kendaall devices operate across temperatures from −40°C to +85°C with IP67-rated enclosures. Our edge computing architecture buffers 30 days of telemetry locally, ensuring no data gaps in tunnels, underground mines, or remote corridors where cellular coverage is absent or unreliable.
Failure Prediction, Not Failure Reporting
Traditional telematics tells you when an asset breaks. Kendaall tells you 72 to 120 hours before it breaks. Our vibration spectral analysis, thermal anomaly detection, and oil quality inference algorithms draw on a continuously growing failure database spanning over two million asset-hours of training data.
Multi-Network Connectivity Architecture
No single communication technology covers every terrain type that heavy logistics operates across. Kendaall devices carry simultaneous 4G LTE, satellite (Starlink/Iridium), and LoRaWAN radios with automatic failover logic. Your assets maintain a live data connection regardless of infrastructure availability.
Intuitive Operations Dashboard
Fleet visibility should not require a data science team to interpret. Kendaall’s dashboard is designed for operations managers, maintenance supervisors, and logistics planners — not software engineers. Heat maps, drill-down asset cards, maintenance scheduling calendars, and exception alert feeds are structured for operational decision-making, not raw data analysis.
Rapid Deployment and Proven Integration
Hardware can be fitted to a locomotive or piece of heavy equipment in under four hours with no welding or permanent structural modification required. Our REST API, native SAP and Oracle connectors, and Zapier integration library mean that Kendaall data flows into your existing operational systems within days, not months.
Dedicated Customer Success Teams
Every Kendaall enterprise client is assigned a named customer success manager with logistics domain expertise. Your CSM handles onboarding, alert threshold configuration, integration troubleshooting, and ongoing performance reviews. 24/7 technical support covers all time zones across our operational regions.
Four Core Capabilities, One Unified Platform
From the first sensor signal to the final maintenance work order, every piece of Kendaall’s technology stack serves a single outcome: maximum asset availability at minimum operational cost.
01
Real-Time Asset Tracking
Continuous positioning and status monitoring for every asset in your fleet, delivered to your dashboard with sub-30-second update frequency. Kendaall combines GNSS positioning (GPS, GLONASS, Galileo, BeiDou) with cellular-assisted triangulation and inertial dead-reckoning to maintain accurate location even during brief signal outages.
02
Predictive Maintenance Intelligence
Kendaall’s predictive maintenance engine analyses vibration frequency spectra, thermal gradients, oil viscosity inference signals, and operational cycle data using ensemble machine learning models. The system identifies deviation patterns indicative of bearing fatigue, cooling system degradation, hydraulic pressure drop, and electrical system anomalies 72 to 120 hours before a failure event occurs.
03
Operational Data Analytics
Raw sensor data is only as valuable as the insight you can extract from it. Kendaall’s analytics layer transforms continuous telemetry streams into structured operational intelligence reports, fleet performance benchmarks, fuel efficiency analyses, and utilisation optimisation recommendations. All data is retained in full fidelity for a minimum of five years for regulatory and insurance audit purposes.
04
Enterprise System Integration
Asset intelligence creates value only when it flows through the entire operational organisation. Kendaall provides native two-way integration with SAP PM, Oracle Utilities, IBM Maximo, IFS, and all major CMMS platforms. Our webhook architecture and full REST API enable custom integrations with bespoke operational systems. Data flows automatically into work order management, procurement, and financial reporting systems without manual intervention.
From Sensor to Decision in Under Thirty Seconds
The Kendaall platform processes over 240 sensor data points per asset per minute through a four-stage intelligence pipeline that transforms raw telemetry into operational decisions.
Capture
Ruggedised Kendaall hardware devices, installed on locomotives and machinery, continuously collect vibration, temperature, pressure, GNSS position, power consumption, and acoustic emissions at configurable sampling rates between 1 Hz and 1 kHz for high-frequency mechanical signals.
Transmit
The multi-network radio module selects the optimal available transmission path in real time — 4G LTE where available, satellite when required, LoRaWAN for dense infrastructure environments. Edge processing filters raw sensor streams, reducing transmission bandwidth by up to 94% without sacrificing analytical resolution.
Analyse
The Kendaall cloud platform receives compressed telemetry streams and immediately applies anomaly detection models, failure pattern matching, and predictive maintenance scoring. Each asset maintains a live health model that is updated with every data packet received, regardless of transmission interval.
Act
Actionable intelligence is surfaced through the operations dashboard, pushed via SMS or email alert to designated personnel, and simultaneously written to connected CMMS and ERP systems as structured data. Maintenance work orders, procurement requests, and logistics rescheduling events are triggered automatically based on configurable operational rules.
No Signal Dead Zone. No Data Gap. No Exceptions.
Logistics operations cross environments that no single radio technology can cover consistently. Rail corridors pass through mountains, tunnels, and remote regions. Mining operations occur underground. Port facilities combine dense infrastructure with open-water proximity. Kendaall’s multi-network architecture was designed with this reality as its starting premise.
Every Kendaall device carries three independent radio modules operating simultaneously. A centralised connectivity management chip monitors signal quality across all available networks continuously and executes seamless failover in under 200 milliseconds when a network path degrades below operational threshold.
For environments where no external connectivity is available, the onboard edge processor continues full-resolution data collection and stores up to 30 days of telemetry in encrypted local flash storage. Data synchronises automatically and with complete time-series integrity when network access resumes.
Kendaall Multi-Network Architecture
4G LTE
Satellite
LoRaWAN
5G Ready
Edge CPU
AES-256
Automatic Failover Sequence
Failover executes in under 200ms with zero data loss at each transition.
Precision Asset Intelligence Across Heavy Industry Sectors
Kendaall Tracking’s platform adapts to the specific operational rhythms, regulatory requirements, and asset configurations of each industry it serves, delivering context-specific intelligence rather than generic telemetry.
Rail Freight & Locomotive Fleet Management
Rail freight operators face a unique combination of challenges that generic telematics cannot address: locomotives travel thousands of kilometres per week across terrain that tests both mechanical and electronic systems to their limits. A single unplanned locomotive failure on a critical freight corridor can cascade into multi-day service disruptions affecting dozens of downstream clients.
Kendaall provides continuous telemetry from diesel and electric locomotive fleets, monitoring traction motors, axle box temperatures, brake system pressure, pantograph wear, and fuel system performance. Our rail-specific predictive models are trained on failure datasets from diesel-electric, electric multiple unit, and diesel multiple unit configurations.
For freight wagon fleets, Kendaall’s cargo container tracking solution monitors door seal integrity, cargo load weight distribution, shock and tilt events, and temperature for climate-sensitive loads — all through a single unified platform alongside your locomotive telemetry.
Reduction in unplanned locomotive stoppages for Kendaall rail clients
Average annual maintenance cost saving per 50-locomotive fleet
Maximum predictive maintenance lead time achieved in client deployments
Average hardware installation time per locomotive with bolt-mount kit
Every Feature Built Around Operational Outcomes
Intelligent Alert Management
Generic alert systems create notification fatigue that causes critical warnings to be dismissed or missed. Kendaall’s intelligent alert engine filters, contextualises, and prioritises alerts based on real-time operational conditions, historical asset behaviour, and configurable business rules — ensuring that when an alert fires, it is genuinely actionable and correctly prioritised.
Multi-Channel Delivery
Alerts are delivered via SMS, email, in-app push notification, and direct webhook to connected CMMS platforms. Alert escalation chains ensure that critical notifications reach the right personnel regardless of individual availability.
Configurable Threshold Logic
Alert thresholds are configured per asset type, per operational context, and per time period. A locomotive operating in summer heat has different thermal alert parameters than the same locomotive in winter, and the platform adjusts accordingly.
Alert Fatigue Prevention
Machine learning models identify alert patterns that consistently result in false positives and automatically adjust sensitivity thresholds. Teams receive fewer alerts overall, but each alert carries higher actionability confidence.
Shift-Aware Routing
Alert routing follows shift schedules in the platform’s workforce management module. Night shift supervisors receive alerts during their operational period; day shift teams receive complete summaries at shift handover.
Kendaall clients report a 73% reduction in nuisance alerts within the first 90 days of deploying the intelligent alert engine, compared to threshold-only alerting systems previously in use.
Asset Security and Theft Prevention
Industrial equipment theft represents a $400 million annual loss in the African logistics and construction sector alone. Kendaall’s security feature set goes beyond simple geofencing to provide active deterrence, automated authorities notification, real-time recovery tracking, and unauthorised operation detection for high-value machinery.
Multi-Layer Geofencing
Define operational zones at site, corridor, and country level. Configure immediate alert, progressive alert, or automated immobilisation responses to boundary violations with documented response protocols for security personnel.
Tamper Detection
Accelerometer-based movement detection triggers alerts for unauthorised after-hours equipment movement even before the asset leaves its designated area. Enclosure tamper switches alert when someone attempts to disable tracking hardware.
Hidden Device Architecture
Kendaall devices are designed for concealed installation in standard asset access points. Secondary hidden beacons provide continued tracking capability even if a primary device is located and removed.
Recovery Coordination
When a theft event is triggered, Kendaall’s incident dashboard provides law enforcement agencies with real-time position data, movement history, and asset identification documentation in the standardised format accepted by insurance claims processes.
Clients operating active Kendaall security monitoring have reported a 100% reduction in successful equipment theft incidents, attributed to deterrent effect and rapid recovery of attempted thefts within 90 minutes.
Automated Compliance and Regulatory Reporting
Heavy industry asset operators face an increasing documentation burden from safety regulators, environmental agencies, insurance underwriters, and internal audit processes. Manually compiling maintenance logs, inspection records, and duty-cycle documentation consumes significant administrative time while introducing transcription error risk. Kendaall automates the creation, storage, and retrieval of all compliance documentation directly from operational telemetry data.
Automated Maintenance Logs
Every maintenance event triggered by a Kendaall alert and resolved in the connected CMMS creates an automatically timestamped, digitally signed log entry with pre-failure telemetry context attached. Auditors receive complete event histories, not manually entered records.
Duty Cycle Documentation
Operational hour records, load cycle counts, speed-distance logs, and operator identification data are captured and retained in tamper-evident format for insurance and regulatory requirements. Reports are generated in jurisdiction-specific formats automatically.
Inspection Schedule Management
Statutory inspection schedules are loaded into the platform and automatically tracked against actual operational cycle data. The system alerts maintenance managers when regulatory inspection milestones approach based on real duty cycles, not calendar approximations.
Carbon and Emissions Reporting
Fuel consumption data captured by Kendaall devices feeds directly into Scope 1 emissions calculations for ESG reporting. The platform supports GHG Protocol methodology and generates reports compatible with major ESG disclosure frameworks.
Kendaall clients report that compliance documentation preparation time falls by an average of 14 hours per week per fleet administrator after platform automation of maintenance logging and inspection tracking.
Mobile Operations and Field Team Applications
Operations centres receive the dashboard view, but real asset management happens in the field. Kendaall’s iOS and Android applications provide maintenance technicians, equipment operators, and site supervisors with the asset intelligence they need at the point of work, with full functionality retained in offline mode for environments where cellular coverage is unavailable.
Offline-First Architecture
The mobile app operates with full functionality when disconnected. Technicians can access asset maintenance histories, record inspection findings, and create work orders offline. All actions synchronise automatically when connectivity resumes.
QR and NFC Asset Access
Each Kendaall-monitored asset carries a QR code and NFC tag. Field technicians scan an asset to instantly access its live telemetry, maintenance history, open alerts, and next scheduled maintenance requirements without navigating the dashboard interface.
Photo and Video Documentation
Technicians record inspection findings with geotagged photographs and video directly within the mobile app. Media is automatically attached to the relevant work order and maintenance log in the platform, creating a rich visual maintenance history for each asset.
Push Notifications and Escalation
Field supervisors receive push notifications for new critical alerts affecting assets in their geographic area. Location-aware alert routing ensures that the closest available qualified technician is notified first, minimising response time.
Field technicians using the Kendaall mobile app resolve maintenance tasks 28% faster on average, attributed to instant asset history access at point of work versus requesting records from operations centre.
What Operations Leaders Say About Kendaall
“Kendaall Tracking has completely transformed the way our operations team manages locomotive availability. We had two major unplanned stoppages in the six months before deployment. In the eighteen months since, we have had zero. The predictive maintenance alerts are genuinely remarkable — our team now schedules interventions during planned idle windows instead of firefighting on the corridor.”
“The predictive maintenance capability alone has paid for three years of Kendaall subscription in a single avoided breakdown. When you are operating haul trucks at a remote mine site, getting 84 hours of warning before a differential failure is not just convenient — it is the difference between a planned four-hour maintenance window and a 72-hour equipment recovery operation. Our maintenance team will not operate without it now.”
“We evaluated four asset tracking platforms before selecting Kendaall. What set them apart was the combination of hardware ruggedness and the intelligence of the analytics layer. Other vendors gave us GPS dots on a map. Kendaall gives us a conversation about what is going to happen to our fleet three days from now. The integration with our SAP PM system was live within two weeks, which was faster than any other vendor had promised.”
Your Assets Are Moving.
Your Intelligence Should Be Too.
Schedule a 45-minute platform demonstration with a Kendaall solutions engineer who specialises in your industry. We will walk through a live deployment scenario using real telemetry data from your asset type, and build a preliminary ROI model based on your current fleet size and operational profile.