Every Machine.
Every Vehicle.
Every Insight.
From a single motorbike courier to a 200-unit locomotive fleet, from a coastal fishing vessel to a deep-pit mining haul truck — Kendaall Tracking delivers the same precision intelligence across every asset class your operation depends on. One platform. Zero blind spots.
Asset Intelligence Is Not a Feature. It Is the Operating Principle
The logistics and heavy industry sectors have never faced greater operational pressure. Supply chain disruptions, fuel cost volatility, tightening emissions regulation, and a global shortage of skilled mechanical technicians are converging simultaneously. In this environment, the gap between operators who can see what their assets are doing in real time — and those who cannot — has become a financial chasm that is widening every quarter.
Kendaall Tracking’s services are built around a single operating principle: every asset you own or operate deserves to be visible, understood, and anticipated. Not just the high-value fleet centrepieces. Every motorbike courier. Every tractor on a remote farm. Every fishing vessel out of signal range. Every cargo container sealed and loaded. Every generator powering a remote construction camp.
Our sensor hardware, connectivity architecture, and AI analytics platform are engineered to serve this principle without compromise — across terrain types, asset classes, organisational structures, and regulatory environments that differ fundamentally from client to client. Universal coverage. Context-specific intelligence.
The most dangerous moment in asset management is not when something breaks. It is when something is about to break and no one in the organisation knows. Kendaall’s services exist to eliminate that moment permanently — replacing reactive crisis management with predictive operational control across every asset class your business depends on.
— Kendaall Tracking Service PrinciplesAsset Classes
From motorcycles and bicycles to locomotives and port cranes
Sensor Points / Min
Data captured per asset per minute across all monitored parameters
Offline Buffering
Full telemetry retained locally when connectivity is unavailable
Integration Turnaround
Native SAP/Oracle/Maximo connectors configured and live
Engineered for Every Machine Your Business Depends On
Kendaall Tracking does not offer a generic tracking product retrofitted to different vehicle types. Each asset class has a purpose-built hardware profile, a tailored sensor configuration, and an industry-specific analytics model designed around the specific failure modes, regulatory requirements, and operational patterns of that asset category.
01
Rail & FreightLocomotive & Rail Wagon Intelligence
Rail freight operators carry an asymmetric risk: a single diesel-electric locomotive failure on a critical corridor can cascade into multi-day service disruptions affecting dozens of downstream consignees and costing between $15,000 and $65,000 per incident when crew reallocation, emergency maintenance mobilisation, and missed haul revenue are combined. The root cause is not mechanical complexity — it is the absence of continuous condition visibility between scheduled maintenance intervals.
Kendaall’s locomotive monitoring suite attaches to the engine management system via J1939 CAN interface, supplemented by independent vibration, thermal, and acoustic sensor arrays on axle boxes, traction motors, cooling systems, and braking assemblies. Every data point streams continuously through our multi-network radio module — 4G LTE, satellite, and LoRaWAN — with onboard edge processing maintaining full-resolution data collection through tunnels, remote corridors, and any other connectivity gap.
For freight wagon monitoring, Kendaall’s compact cargo sensor unit tracks door seal integrity, load weight distribution via axle load sensing, cargo temperature for climate-sensitive freight, shock and tilt events logged with GPS timestamp, and end-of-train position confirmation for automated composition verification.
Max predictive lead time
Avg. annual saving per 50-unit fleet
Hardware install per locomotive
02
Road FreightHeavy Goods Vehicles & Lorry Fleet Management
Long-haul lorry fleets operate across terrain, border crossings, and time zones that create unique visibility challenges. A 40-tonne articulated truck carrying refrigerated cargo from Mombasa to Kampala passes through three regulatory jurisdictions, two border posts with variable dwell times, and hundreds of kilometres of corridor where cellular coverage is intermittent. Operators who cannot see this journey in real time are making cargo commitments against an information void.
Kendaall’s road freight monitoring connects to the truck’s OBD-II or J1939 port for engine data, supplements with independent tyre pressure monitoring across all axles, and adds driver behaviour scoring using accelerometer and gyroscope data to identify hard braking, aggressive cornering, and excessive idle events. Refrigerated trailer monitoring extends coverage to temperature and humidity inside cargo units, with automatic alerts if temperature excursion thresholds are breached.
For tanker and bulk cargo operators, Kendaall’s load sensing integration monitors cargo volume and weight in real time, detecting unauthorised partial offload events — a critical anti-theft capability for high-value liquid cargo operations.
Fuel cost reduction avg.
Position refresh frequency
OBD engine parameters captured
03
Two-Wheel FleetsMotorcycle & Light Vehicle Fleet Tracking
Motorcycle delivery networks are the circulatory system of urban logistics across East and Central Africa. A single motorcycle courier fleet operator managing 50 to 200 riders faces challenges that no spreadsheet or manual dispatch system can solve: real-time route adherence, rider safety monitoring, unauthorised use after hours, engine maintenance compliance across a dispersed and often informally contracted workforce, and proof-of-delivery documentation for client SLA management.
Kendaall’s motorcycle-specific device is a compact, tamper-resistant unit that installs beneath a fairing panel in under 20 minutes. It captures GPS position at 15-second intervals, engine hour accumulation for maintenance scheduling, accelerometer data for crash detection and alert, and integrates with a lightweight rider mobile app for delivery confirmation and route guidance. For fleet operators on Kenya’s boda-boda networks or Nigerian last-mile logistics operations, this provides the first meaningful layer of operational visibility over a historically opaque asset class.
The platform’s rider behaviour module scores each rider daily across acceleration consistency, speed compliance, braking pattern, and route adherence — producing fleet-wide rankings that support performance-linked incentive programmes and identify riders who may need additional training before fatigue or mechanical failure leads to an incident.
Device installation time
Battery life (standard mode)
Works on feature phones too
04
Marine & Inland WaterVessel Tracking & Marine Asset Intelligence
Marine operations — from Lake Victoria fishing cooperatives to coastal freight barges and passenger ferry services — face a tracking challenge that land-based operators rarely encounter: once a vessel leaves the harbour and moves beyond cellular tower range, it disappears from conventional monitoring entirely. Engine failure, cargo displacement, weather-related diversions, and fuel theft all occur in a data vacuum.
Kendaall’s marine-rated devices carry IP68 saltwater-resistant and UV-stabilised enclosures, designed for permanent deck-mount or below-deck installation. Iridium satellite connectivity provides position updates every five minutes from any point on open ocean or the African Great Lakes, regardless of cellular infrastructure availability. AIS (Automatic Identification System) integration allows Kendaall data to supplement or cross-validate vessel position with maritime authority tracking requirements.
Engine room monitoring covers marine diesel RPM and temperature, bilge pump activation events (an early indicator of hull water ingress), fuel consumption per nautical mile, and anchor drag detection for moored vessels via accelerometer. Cargo monitoring extends to hold temperature for fish cargo, load weight distribution for barge safety, and hatch seal integrity for container-fitted vessels.
Saltwater-rated enclosure
Open-ocean update interval
Iridium satellite coverage
05
Agricultural MachineryTractor & Farm Equipment Asset Monitoring
Agricultural machinery represents one of the most capital-intensive asset classes per unit in the African economy, yet it is also one of the least monitored. A single modern articulated tractor with precision guidance costs upward of $180,000 — yet most operators have no real-time visibility of where it is, how many hours it has accumulated this season, whether the PTO has been engaged appropriately, or whether the engine is being operated within safe thermal parameters.
Kendaall’s agricultural configuration connects to the tractor’s J1939 CAN bus to capture over 200 engine and transmission parameters in real time: engine hours, PTO engagement cycles and duration, hydraulic pressure, coolant temperature, diesel particulate filter loading, and transmission gear selection. GPS tracking overlays position data with field boundary maps, automatically generating field coverage reports that show which areas have been ploughed, planted, or harvested and at what implement depth settings.
For large-scale farming operations managing seasonal equipment leasing, the platform’s utilisation analytics compares actual field working hours against idle hours and transport time — identifying machines that are consistently underutilised and candidates for redeployment or fleet reduction. Predictive maintenance alerts for injector wear, filter replacement, and hydraulic fluid degradation keep equipment operational through critical planting and harvest windows.
Idle time reduction avg.
CAN parameters captured
Works on remote farms
06
Light Assets & Portable PlantBicycles, Generators & Portable Equipment
The lightest end of the asset class spectrum is also one of the most theft-prone. Commercial bicycle fleets — whether operating courier delivery networks in Nairobi, Kampala, or Dar es Salaam, or supporting last-mile distribution in peri-urban regions — represent significant capital investment that conventionally goes unmonitored simply because the devices available were designed for trucks and were too large, too expensive, and too power-hungry to install on a bicycle frame.
Kendaall’s micro-device series was purpose-developed for assets without onboard power systems. The bicycle unit draws under 2mA in standard reporting mode, fitting a unit the size of a cable lock within a standard frame tube. GPS reporting continues for up to five years on the internal battery without any user intervention. The unit’s motion sensor triggers wake-from-deep-sleep in under 500 milliseconds when movement is detected, logging all subsequent position data through a separate accelerometer buffer until the bicycle is stationary again.
For portable power generation equipment — diesel generators, air compressors, welding units, and mobile pump sets deployed at construction sites, events, or remote infrastructure projects — Kendaall’s plant monitoring unit attaches magnetically to any ferrous surface and monitors engine run-hours, fuel consumption, output voltage stability, and site location. Generators moved outside their registered geofence immediately trigger theft alerts to site managers.
Current draw — standard mode
Wake from deep sleep
Geofence breach alert time
Six Services. One Unified Intelligence Layer.
Kendaall’s service architecture is designed so that every capability reinforces the others. Real-time tracking data feeds predictive models. Predictive alerts trigger integration workflows. Compliance reports draw on both. You do not buy individual features — you activate an interconnected intelligence system.
Real-Time Asset Tracking
Sub-30-second position updates for all asset classes via GNSS multi-constellation and multi-network radio. Geofencing, corridor management, and historical route replay included across all deployments.
Predictive Maintenance
ML failure prediction across vibration, thermal, oil quality, and operational cycle data. Delivers 72–120 hour advance warning across all monitored asset classes, reducing unplanned downtime by an average of 38%.
Operational Analytics
Fleet performance benchmarking, fuel efficiency reporting, utilisation scoring, and ESG Scope 1 emissions data — all generated automatically from live telemetry without manual data collection or compilation.
Enterprise Integration
Native two-way connectors for SAP PM, Oracle, IBM Maximo, and IFS. Full REST API with Swagger documentation. Webhook event streams and SSO via SAML 2.0 and OAuth 2.0 included in all enterprise deployments.
Asset Security
Multi-layer geofencing, tamper detection via enclosure switches, hidden secondary beacon architecture, and real-time theft recovery coordination. Effective across all asset classes from bicycles to locomotives.
Compliance Reporting
Automated maintenance logs, statutory inspection scheduling, duty-cycle records, and GHG Protocol Scope 1 emissions documentation — generated automatically from operational telemetry for all regulated asset classes.
Four Engineering Pillars That Make the Platform Possible
Kendaall’s platform performance is not the result of any single technology innovation. It is the integration of four purpose-built engineering layers — hardware, connectivity, analytics, and integration — that each solve a distinct problem in the asset intelligence value chain.
01
Ruggedised Hardware
IP67/IP68-rated enclosures, −40°C to +85°C operational range, SAE J1939 and OBD-II native interfaces, multi-axis sensor arrays for vibration and acoustic monitoring. Device installation in under 4 hours per asset across all class configurations.
02
Multi-Network Connectivity
4G LTE primary with simultaneous Iridium and Starlink satellite, LoRaWAN mesh for dense environments, and automatic failover in under 200ms. 30-day local edge buffer ensures zero data loss in dead zones, tunnels, and underground operations.
03
AI Analytics Engine
Ensemble ML models trained on over 2 million asset-hours of failure data. Real-time anomaly detection, predictive failure scoring with configurable probability thresholds, and adaptive alert intelligence that reduces false positives by 73% within 90 days of deployment.
04
Integration Architecture
Native ERP and CMMS connectors configured in under 48 hours. Full REST API with Swagger documentation and SDK libraries for Python, JavaScript, and Java. Webhook event streams, SSO via SAML 2.0, and role-based asset-level access control as standard.
No Dead Zone. No Data Gap. No Exception for Any Asset Class.
Every asset class Kendaall monitors — from a bicycle in downtown Nairobi to a locomotive passing through the Rift Valley to a fishing vessel on Lake Victoria — uses the same underlying connectivity architecture. The difference is configuration, not capability.
The multi-network radio module evaluates available signal quality across 4G LTE, Iridium satellite, Starlink, and LoRaWAN simultaneously and executes seamless path selection with sub-200ms failover when any network path degrades. Edge computing on-device means sensor data collection never pauses regardless of transmission status.
AES-256 encryption protects all data on every transmission path. No asset telemetry moves — from device to cloud — without end-to-end encryption and cryptographic message authentication, meeting ISO 27001 and GDPR standards applicable to fleet operator data jurisdictions.
Multi-Network Connectivity Architecture
4G LTE
Satellite
5G Ready
LoRaWAN
Edge CPU
AES-256
Automatic Failover — All Asset Classes
Failover in under 200ms with zero data loss on all asset classes.
Industry-Specialist AI Advisors Supporting Every Deployment
Every Kendaall enterprise account is supported by a named customer success manager with domain expertise in your industry. Our AI-assisted advisor system means you always reach a specialist who understands your asset class — not a generalist following a support script.
Amara
Rail & Locomotive Intelligence
8 years in rail fleet operations. Specialises in diesel-electric locomotive predictive maintenance and multi-corridor freight wagon tracking across East and Southern African rail networks.
Available for consultationKwame
Road Freight & HGV Intelligence
Cross-border logistics specialist. 12 years managing HGV fleets on the NCIP corridor. Expert in refrigerated transport monitoring and cross-border cargo compliance documentation.
Available for consultationFatima
Urban & Two-Wheel Fleet Intelligence
Former operations director at a 400-rider boda-boda network. Expert in motorcycle fleet management, last-mile analytics, and rider performance programmes for high-volume urban delivery operations.
Available for consultationDarius
Marine & Inland Waterway Intelligence
Certified maritime engineer with 15 years on Great Lakes and Indian Ocean commercial operations. Specialist in fishing cooperative fleet management, passenger ferry monitoring, and open-ocean satellite tracking deployments.
Available for consultationFrom Hardware Installation to Full Intelligence in Five Steps
Kendaall’s deployment process is engineered to minimise disruption to your operations. Assets remain in service throughout hardware installation, and your team starts receiving intelligence before the first invoice is due.
Asset Survey
Your customer success manager conducts an asset class assessment, identifying the correct hardware profile, mounting configuration, and sensor package for each vehicle or machinery type in your fleet.
Hardware Fit
Certified Kendaall installation technicians fit devices to your assets with no welding, structural modification, or extended downtime required. Standard fitting takes under 4 hours per unit for all asset classes.
Platform Configuration
Your operations dashboard, alert thresholds, geofence zones, user access hierarchy, and reporting templates are configured during the hardware fitting period. Go-live is simultaneous with first sensor signal receipt.
System Integration
Native connectors for SAP, Oracle, Maximo, or IFS are configured and tested. API credentials, webhook endpoints, and SSO settings are established. Standard integration targets two to four weeks post-installation.
Live Operations
Your fleet is fully live. Your team receives hands-on dashboard training from your CSM. The predictive maintenance model begins its initial asset-specific calibration period, with first predictive alerts expected within 7 to 14 days.
Every Machine You Operate Deserves to Be Understood in Real Time.
Schedule a 45-minute platform demonstration with a Kendaall solutions engineer who specialises in your asset class. We will walk through a live deployment scenario using real telemetry data from your vehicle and machinery types, and build a preliminary ROI model based on your fleet size and operational profile.