Fleet Tracking Solutions by Industry in Kenya — Twelve Sector Configurations on One Platform
A position on a map is generic. The loss it is supposed to prevent never is. A school bus fails when a child is left on board; a matatu fails when a speed record threatens an operator’s licence; a hire car fails when it crosses a border it was never insured to cross; an excavator fails when 200 litres of diesel are gone by morning. Kendaall runs one monitoring backbone — GPS vehicle tracking, fleet management, fuel monitoring, stolen vehicle recovery — configured twelve different ways, each built around the failure that actually occurs in that business.
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The Backbone Is Shared. The Risk Model Never Is.
Every Kendaall deployment runs on the same components: hardened GPS hardware, multi-network cellular connectivity, a real-time platform, and a recovery team on call. What changes completely is the configuration wrapped around them, because each industry loses money and safety through a different door. A corporate fleet bleeds through after-hours private use and unreconciled fuel cards. A matatu operation lives or dies on speed compliance and route discipline. A car hire firm needs contract-linked geofences and remote immobilisation. A contractor’s plant fleet is measured in engine hours and litres and barely in kilometres at all.
Sector configuration decides which sensors are fitted, which rules fire, who receives the alert, and what the month-end report proves. Choosing the solution built for your operation means the platform arrives speaking your language from day one: parents and pickup stages for schools, hire contracts and mileage caps for rentals, tonnage and corridors for logistics, hour meters and site fences for plant, coverage maps and acreage for farms. Each solution below links to its full page. Operations that span several — a contractor with trucks, machines and staff cars is three sectors inside one company — still land in one fleet management account with per-department views.
One platform, twelve risk models: passenger, commercial, rental and plant assets on a single map.
What “Risk” Means in Each Business
The word gets used loosely enough that it starts to sound interchangeable across sectors, and it is not. For a school, the exposure is a child’s safety and a parent’s trust; the financial cost of a monitoring failure is secondary to the reputational one, and a school that loses parent confidence loses enrolment. For a matatu SACCO, the exposure is regulatory — a speed violation or route deviation recorded against a public service vehicle threatens a licence, not just a fuel budget. For a car hire company, the exposure is contractual and geographic: a vehicle outside its agreed area, past its return date, or simply gone. For a construction contractor, the exposure is capital and consumable at once — a grader worth tens of millions of shillings and the diesel that keeps it running are both unprotected the moment nobody is watching the yard. For a farm, the exposure is a self-reported figure: acres, hours and litres declared by the people who consume them.
None of those are addressed by the same alert fired at the same threshold. A speed rule tuned for a matatu on the Thika Superhighway is meaningless on a tractor. A geofence that protects a hire car protects nothing on a generator that never moves. An engine-hour counter that governs a service schedule on an excavator has no equivalent on a boda boda. This is why a generic tracking product consistently underdelivers: the hardware and the cellular network are commodities, and the configuration pointed at a specific failure is the part that carries the value.
The Three Questions That Place an Operation
Before a configuration is written, three questions place a fleet correctly, and they matter more than the vehicle type on the logbook.
- What is at stake when the asset is out of sight? A life, a licence, a cargo, a capital asset, or a consumable. This decides which layer of the platform carries the weight.
- Who holds the asset? An employee, a member, a contracted operator, or a paying stranger. Possession decides whether the configuration is management or enforcement.
- What unit does the asset earn in? Kilometres, trips, passengers, hire days, engine hours, acres, or runtime hours. The earning unit decides which sensor is mandatory rather than optional.
A pickup owned by a flower farm, a pickup on a corporate fleet and a pickup on a rental fleet are the same vehicle answering three different sets of answers, and they receive three different configurations. That is the logic the twelve solutions below are organised around.
Eight Things Every Tracked Fleet Connects
Whatever the sector, a deployment links the same set of things in different proportions: an asset, the person holding it, the route or site it operates in, the boundary around that space, the consumable it burns, the rule that fires, the person who receives the alert, and the record that survives the argument afterwards.
The Asset
Vehicle or machineCapital valueEarning unitA bus, matatu, saloon car, prime mover, container, hire car, excavator, tractor, motorcycle or generator. Its attributes — value, mobility, duty cycle, electrical system and earning unit — determine the device class fitted to it. A heavy machine and a boda boda sit at opposite ends of that range and share almost no hardware.
The Holder
Driver or operatorIdentityAccountabilityAn employed driver, a SACCO member, a contracted rider, a machine operator or a paying renter. The relationship between owner and holder decides whether the configuration is a management tool or an enforcement one, and whether identification runs on a driver ID tag, an RFID operator token, or a signed hire contract.
The Route or Site
CorridorStageYard or blockA school run, a licensed matatu route, the Northern Corridor to Malaba, a construction site, a farm block, an airport rank. Where the asset is supposed to be is the reference against which everything else is judged.
The Boundary
GeofenceScheduleAlert triggerEvery route, site, yard, depot, border post and hire area is expressed as a geofence with time rules attached. The same crossing is information at 10:00 and an alarm at 02:00.
The Consumable
Diesel and petrolEngine hoursTyres and service lifeFuel is the largest controllable cost in every sector on this page and the easiest to lose without a symptom. Calibrated fuel sensors convert it from an estimate into a measured litre count with a time and a position attached.
The Rule
ThresholdExceptionAutomationA rule turns a data stream into an exception worth somebody’s attention: a speed threshold, a stop that did not happen, a fuel drop with the engine off, an ignition event outside working hours, a contract that expired while the car was still out.
The Recipient
Role-based accessEscalation pathAn alert with no correct recipient is noise. Parents receive one bus, a site manager receives one site, a SACCO official receives compliance summaries, a finance director receives reconciliations, a control room receives theft alarms.
The Record
EvidenceAudit trailDispute resolutionWhat survives the argument: a speed history for a regulator, a mileage statement for a hire dispute, a fuel reconciliation for an auditor, an hour ledger for a warranty claim, a coverage map for a per-acre invoice, a route log for an insurer.
The twelve solutions below are twelve different weightings of those eight parts. A school bus configuration loads heavily on recipient and boundary. A logistics configuration loads on corridor, consumable and record. A plant configuration barely uses route at all and loads almost entirely on consumable, rule and record. Reading the sector pages with that in mind makes it obvious why the same platform produces such different day-to-day experiences.
People on Board — Passenger Transport Tracking
Where the load is human, tracking is a safety and compliance system first and a cost tool second: speed governance, route discipline, and the accountability that regulators, parents and passengers expect. Passenger transport also carries the heaviest regulatory weight of any category on this page. The National Transport and Safety Authority sets speed governance and public service vehicle compliance rules that make monitoring an operating requirement rather than a convenience.
School Bus Tracking
Live parent visibility, pickup and drop-off verification, speed alerts and driver accountability — the platform used by school transport operators to make the morning run provable.
Explore school bus trackingPSV & Matatu Fleet Tracking
Speed compliance, route adherence, harsh-driving control and per-vehicle earnings discipline for the most regulated, hardest-working vehicles on Kenyan roads.
Explore PSV trackingSACCO Fleet Tracking
Fleet-wide oversight for transport SACCOs: member-vehicle monitoring, compliance reporting and the dashboard that turns a hundred individual owners into one accountable fleet.
Explore SACCO trackingTaxi & Ride-Hailing Fleets
For owners with cars on Uber, Bolt and Little: independent mileage and location truth, driver accountability, and protection for the asset the app companies do not watch on your behalf.
Explore taxi fleet trackingBoda Boda Fleet Tracking
Compact trackers for motorcycle fleets and courier operations — recovery for Kenya’s most-stolen asset class, plus rider accountability for delivery businesses.
Explore boda boda trackingShuttles, Tours and Ambulances
Staff shuttles, tour vans, driving schools, hotel transfers and ambulances all carry passenger-grade configurations built from the closest profile above.
Talk to a specialistSchool Bus Tracking
The asset: a 33- to 62-seat bus or a 14-seat van, usually owned by the school, sometimes by a contracted transport operator. The holder: an employed driver, often with a matron or bus assistant. The route: a fixed morning and evening run with named pickup stages. What is at stake: a child.
School transport is the only configuration on this page where the primary recipient of the data is not the person paying for it. Parents consume the live map, the arrival estimate and the boarding confirmation; the school consumes the compliance record and the driver behaviour history; the transport manager consumes the route timing and the maintenance schedule. Each sees a different slice through role-based access, and a parent never sees the rest of the fleet or any other child’s stop.
The configuration weights three rules above everything else. First, stop verification: the platform confirms that the bus stopped where it was supposed to, for long enough to be plausible, and raises an exception when a scheduled stage is skipped or a stop occurs somewhere it should not. Second, speed: school buses run on a tighter threshold than the legal limit, because the standard a school is judged by is not the same as the standard the law sets, and the alert escalates to the transport manager rather than sitting in a log. Third, dwell detection at the end of a run — the check that the bus is empty and parked, which exists because a child left on board is the failure a school cannot recover from reputationally.
Around those, the configuration adds harsh-braking and cornering events through driver behaviour monitoring, route-deviation alerts, after-hours ignition alarms that catch a bus being used for private hire on a Saturday without the school’s knowledge, and a boarding record where RFID cards or tags are used. Dashcams are increasingly fitted on school runs, both facing the road and facing the cabin, because the incident that generates a parent complaint is almost never the one anybody expected to need footage of.
Schools also use the record commercially. Enrolment conversations increasingly include transport, and a school that can show a parent the live app during a tour is answering a question that competitor schools leave to trust. Boarding schools in Nairobi, Nakuru, Eldoret, Kisumu, Thika and Mombasa run the same configuration on end-of-term convoy movements, where the parent audience temporarily expands to the entire parent body at once.
- Parent app with live position, stage arrival and boarding confirmation
- Stop verification against named pickup stages with skipped-stage exceptions
- School-specific speed thresholds below the legal limit, with escalation
- End-of-run empty-and-parked checks
- After-hours and weekend ignition alerts on school-owned buses
- Driver behaviour scoring and dashcam footage retention for incidents
PSV and Matatu Fleet Tracking
The asset: a 14-seat matatu, a 25- to 33-seat mini-bus, or a long-distance coach. The holder: a driver and conductor, frequently on a daily target arrangement. The route: a licensed route with fixed stages. What is at stake: a licence, an insurance position, and a vehicle that only earns while it is moving.
Public service vehicles are the most regulated and the most intensively used vehicles in the country, and the configuration reflects both facts. Speed governance is the anchor rule, because the regulatory consequence of a recorded violation is disproportionate to its immediate cost and because speed is the single strongest predictor of the crash that ends a vehicle’s earning life entirely. The platform holds the speed history per vehicle, per driver and per route segment, which is what turns an argument about whether a driver speeds into a record showing when, where and how often.
Route adherence is the second rule. A matatu that abandons its licensed route for a shortcut, a private charter or an unapproved stage is carrying regulatory and insurance exposure the owner has not agreed to, and the deviation alert is the mechanism that surfaces it the same day rather than after an incident. Stage timing on top of that gives the owner something they rarely have: a count of completed trips per day, which is the number the daily remittance is supposed to reflect.
That last point is where owners usually find the money. In a target arrangement the owner receives a fixed daily figure and the crew keeps the rest, which works precisely as long as the owner knows how many trips the vehicle actually completed. Trip counting, working hours and fuel monitoring together replace an estimate with a measurement, and the negotiation over the target figure becomes a conversation about an agreed number. Fuel matters here more than owners expect: a matatu running the Nairobi–Nakuru or Nairobi–Machakos corridor consumes enough diesel that a consistent siphon is a substantial annual figure.
The theft and recovery layer is standard rather than optional on PSVs. These are high-turnover vehicles working long hours with multiple drivers, and the recovery service paired with concealed installation and, where the owner chooses, a remote immobilisation relay engaged only at standstill, is what protects the asset when a vehicle does not return to the stage at the end of a shift.
- Speed thresholds with per-driver, per-route violation history
- Licensed-route adherence and deviation alerts
- Trip counting and stage timing for daily target verification
- Fuel monitoring on long-corridor vehicles
- Harsh acceleration, braking and cornering scoring per crew
- Concealed installation, recovery response and optional standstill immobilisation
SACCO Fleet Tracking
The asset: dozens to hundreds of vehicles owned individually by members and operated collectively under one SACCO licence. The holder: crews employed by individual owners. What is at stake: the SACCO’s compliance standing, which every member’s income depends on.
A transport SACCO has a structural problem no single-owner fleet has: the entity carrying the regulatory risk does not own the vehicles creating it. One member’s driver speeding on the Nairobi–Nyeri road is a compliance issue for every other member. The SACCO configuration exists to resolve that split — it gives officials fleet-wide compliance visibility without handing them commercial control over individual members’ vehicles, and it gives each member full visibility of their own vehicle without visibility of anyone else’s earnings.
That access model is the core of the deployment. A member sees their own vehicle: position, trips, speed, fuel, driver. A SACCO official sees compliance summaries across the whole fleet — violations, route deviations, vehicles offline, vehicles due for inspection — without the trip-by-trip commercial detail that would make members resist installation. The management committee sees aggregate reporting for regulatory submissions and insurer negotiations. Because the data is collected once and viewed through different roles, the SACCO does not have to choose between oversight and member privacy.
Insurance is the second reason SACCOs install. A fleet that can demonstrate speed compliance, driver behaviour scoring and recovery capability is negotiating from a different position than one presenting a claims history and nothing else. SACCOs in Nairobi, Kiambu, Nakuru, Kisumu, Eldoret and Mombasa use consolidated behaviour reporting during renewal specifically for that reason, and several structure internal incentives around it — members whose vehicles score well pay lower internal levies, which is a mechanism that only works if the scoring is generated by an instrument rather than by opinion.
Operationally, the platform also handles the ordinary friction of collective transport: vehicles being tracked for stage allocation and queue fairness, offline-device reporting so a member cannot quietly disconnect a tracker before a violation-heavy week, and per-member statements that support internal dispute resolution. The governance logic is the same one applied to shared machinery in agriculture: measured use, attributed to a named party, replaces a negotiated impression.
- Role separation between members, officials and the management committee
- Fleet-wide compliance summaries for regulatory reporting
- Per-member vehicle visibility without cross-member exposure
- Behaviour scoring used in insurance renewal and internal levy structures
- Device-offline and tamper reporting across member-owned vehicles
Taxi and Ride-Hailing Fleet Tracking
The asset: saloon cars and small SUVs, often financed, operating on Uber, Bolt, Little or Faras. The holder: a driver on a revenue-share or daily-target arrangement, frequently not the owner. What is at stake: an asset earning through a platform that reports to the driver, not to the owner.
Ride-hailing created a category of vehicle owner who has almost no independent information about their own car. The app knows the trips; the driver knows the app; the owner knows whatever is remitted. Owner-side tracking closes that gap with three measurements: actual kilometres driven, actual hours in service, and actual position history. Set against the remittance, those three numbers make it clear whether a car is underperforming because demand is weak, because the driver is working fewer hours than claimed, or because the vehicle is being used off-platform for private work.
Off-platform use is the most common finding. A car accumulating 180 kilometres on a day the driver reported four short trips is being used for something else, and the position history shows what. The configuration handles this with a combination of daily distance reporting, idle and offline-hours detection, and geofences around areas the vehicle has no business in — upcountry trips being the obvious case, since a Nairobi-based ride-hailing car that appears in Nyeri on a Sunday is not working.
Maintenance is the second pressure point, because ride-hailing vehicles accumulate distance faster than almost any private car and are serviced on a schedule the owner cannot verify. Distance-based service alerts through predictive maintenance replace the driver’s word about when the last oil change happened, which matters most on financed vehicles where the owner is protecting an asset they do not yet fully own.
Recovery closes the set. These cars are handed to drivers daily, sometimes to drivers the owner has met once, and the disappearance case is common enough that concealed installation and a recovery response are treated as base specification rather than an upgrade. Remote immobilisation, where fitted, is configured to engage only at standstill and is coordinated with the recovery team rather than triggered from a phone in frustration.
- Independent daily distance, hours-in-service and position history
- Off-platform and private-use detection against remittance figures
- Geofences for out-of-area movement and unauthorised upcountry trips
- Distance-based service alerts on high-mileage vehicles
- Concealed installation, recovery response and standstill immobilisation
Boda Boda and Motorcycle Fleet Tracking
The asset: 125cc to 200cc motorcycles — Boxer, TVS, Honda, Captain — owned singly, in small investor fleets, or by courier and delivery companies. The holder: a rider, often on a daily remittance or a hire-purchase arrangement. What is at stake: the most frequently stolen powered asset class in Kenya, and a rider relationship that depends entirely on the machine coming back each evening.
Motorcycle tracking is a hardware problem before it is a software one. The unit must be compact enough to conceal on a frame with almost no hiding places, waterproof enough for daily rain and washing, tolerant of vibration that would loosen a car-grade fitting, and economical enough with power that a small battery is not drained overnight. Fitting a car tracker to a motorcycle is the most common inherited fault we find on takeover fleets, and it usually presents as a unit that works for three months and then fails during a rainy week.
The recovery configuration is the reason most owners install. Motorcycles are stolen for resale and for parts, they are moved quickly, and the window in which recovery is realistic is short. Movement alarms outside working hours, geofences around the rider’s home stage and the owner’s yard, and immediate escalation to the recovery team are what make that window usable. For hire-purchase fleets, where the rider is buying the machine over months, the same configuration also protects the financier’s position for the duration of the agreement.
Delivery and courier operations use a different weighting of the same platform. Here the questions are throughput and accountability: how many deliveries were completed, how long each took, whether riders are taking the routes they are paid for, and which rider’s riding is generating the crash and repair costs. Distance per day, stop detection at customer addresses, and behaviour scoring on harsh acceleration and speed give a dispatcher the operational picture, while the owner keeps the asset-protection layer running underneath it.
For investor fleets — a common structure where one owner runs five to thirty machines under different riders — the platform supplies the remittance check that the arrangement otherwise lacks. Daily distance and active hours per machine, compared across riders, identify quickly which machines are working and which riders are running a different business on somebody else’s asset.
- Compact, waterproof, vibration-tolerant motorcycle-class hardware
- Movement and after-hours alarms with rapid recovery escalation
- Hire-purchase protection for financiers and investor fleets
- Delivery throughput, stop detection and route adherence for courier operations
- Per-rider distance, active hours and behaviour scoring
Across all five passenger profiles the common thread is that the person paying for the tracking is rarely the only person who benefits. A parent checking an arrival estimate, a SACCO official reviewing a compliance summary, a financier confirming a hire-purchase motorcycle is still in the district, and a rider’s family knowing the machine reached home are all consuming the same position data through a lens built for their relationship to the vehicle. Passenger configurations therefore weight visibility, reassurance and compliance evidence more heavily than the cost-control features that dominate commercial fleets.
Goods in Motion — Commercial, Logistics and Freight
Where the vehicle is a cost centre carrying revenue, tracking is a margin instrument: fuel control, utilisation, delivery proof and corridor security from yard to consignee. Kenya’s position on the Northern Corridor — the Mombasa–Nairobi–Malaba–Kampala route serving Uganda, Rwanda, Burundi, South Sudan and eastern DRC — exposes this category to long-haul risks that domestic fleets never meet: extended time out of supervision, cross-border customs holds, and cargo theft concentrated around predictable overnight stopping points.
Corporate Fleet Tracking
Policy enforcement for organisational fleets: authorised use, after-hours alerts, fuel reconciliation and the audit trail that finance teams and boards ask for.
Explore corporate fleetsLogistics Fleet Tracking
Long-haul visibility, route corridors, cargo-door sensing and fuel management for trucks working the Northern Corridor and the domestic distribution network.
Explore logistics trackingEast Africa Rail Freight
Container and consignment visibility across the Standard Gauge Railway and intermodal corridors — tracking that follows the cargo rather than only the truck.
Explore rail freightCorporate Fleet Tracking
The asset: pool cars, pickups, executive vehicles, sales fleets and NGO field vehicles. The holder: an employee. What is at stake: policy compliance, fuel budgets and an audit position, rather than theft.
Corporate fleets are the one category where the asset is rarely stolen and the losses are almost entirely internal. A company running forty vehicles across Nairobi, Mombasa and the counties loses money through private weekend use, inflated fuel claims, unnecessary journeys, idle engines outside meetings, and vehicles being driven to destinations no business need explains. None of these are dramatic; all of them are continuous, and together they routinely account for a fifth of a fleet’s running cost.
The configuration is built around policy rather than around alarms. Working-hours rules define when a vehicle is authorised to move; movement outside them produces an exception that goes to a line manager, not a security desk. Fuel-card reconciliation matches every transaction against the vehicle’s position and tank level at the time — a card used while the vehicle was forty kilometres away is a finding no manual expense review would have produced. Distance and journey reporting per department turns vehicle allocation from an annual argument into a data question about which department actually uses what.
Duty of care is the second driver for corporates and the primary one for NGOs and development organisations. Field vehicles working in Turkana, Marsabit, Garissa, Wajir or across borders carry staff into areas where an organisation has a legal and contractual obligation to know where its people are. The configuration adds check-in geofences, journey-start and journey-end confirmation, panic buttons, and route-deviation alerts calibrated to security advisories rather than to cost. For organisations reporting to donors, the same data supports vehicle-use accountability in grant reporting, which is an audit requirement rather than a management preference.
The evidence layer matters more here than anywhere except car hire. Finance directors and internal auditors are the eventual consumers of the data, and what they need is not a live map but a monthly reconciliation that closes: fuel issued against fuel burned, kilometres claimed against kilometres driven, authorised journeys against actual movements. Fleet policy becomes enforceable the month it becomes measurable, and most of the behaviour change occurs immediately after the first reconciliation is circulated rather than after any disciplinary action.
- Working-hours and authorised-use rules with manager-level escalation
- Fuel-card reconciliation against position and tank level
- Per-department distance, journey and utilisation reporting
- Duty-of-care features: check-ins, panic alerts, security-based deviation rules
- Monthly audit pack for finance, internal audit and donor reporting
- Pool-vehicle booking verification and idle-engine reporting
Logistics and Transport Fleet Tracking
The asset: prime movers and trailers, rigid trucks, tankers, canters and reefers. The holder: a long-distance driver and turnboy, out of contact for days. What is at stake: cargo, diesel, delivery commitments and the customer relationship behind them.
Long-haul transport concentrates every loss mechanism on this page into one operation. Diesel is the largest single cost and the most systematically stolen, taken from tanks at overnight stops in volumes that a monthly average will never reveal. Cargo is exposed at every stationary moment. Delivery performance is contractual, and a customer who cannot be told where their consignment is will find a transporter who can. Utilisation decides whether a truck earns or merely depreciates, and turnaround time at loading points is where most of the idle capacity in a Kenyan fleet actually sits.
The fuel configuration is the heaviest on the platform. Calibrated level sensors in the main tanks, multi-point calibrated for irregular geometry, read continuously so that a drop while the vehicle is stationary with the engine off is alarmed immediately with time and position attached. Refuelling events are matched against station receipts, short fills are surfaced at the pump rather than at month-end, and consumption is benchmarked per hundred kilometres per vehicle and per driver, laden and unladen. On a fleet of twenty trucks running Mombasa to Malaba, the difference between an estimated and a measured fuel position is a material annual figure.
Corridor management handles the security half. Approved routes are expressed as corridors rather than points, with alerts on deviation, on unscheduled stops, on stops exceeding a permitted duration, and on stops inside known high-risk zones. Cargo-door sensors report every opening with time and position, which converts a suspicion about a partial offload into a timestamped event. Temperature probes on reefers protect pharmaceutical, horticultural and dairy loads and produce the cold-chain record that the consignee’s quality process requires. For cross-border work into Uganda, Tanzania, Rwanda and South Sudan, the platform holds visibility through Busia, Malaba, Namanga and Isebania and reports dwell time at each post, which is where a transporter’s schedule is usually lost.
Delivery proof and utilisation complete the set. Arrival and departure at each consignee are logged automatically through geofences rather than depending on a driver’s call, giving a customer service desk an answer without a phone call to the cab. Turnaround analysis at loading and offloading points identifies where a fleet’s capacity is being consumed by waiting, which is frequently a larger number than the fuel loss and considerably easier to fix once it is visible per site.
- Calibrated fuel monitoring with siphon alarms, fill verification and per-100km benchmarking
- Route corridors with deviation, unscheduled-stop and high-risk-zone alerts
- Cargo-door sensing and reefer temperature logging
- Cross-border visibility and border-post dwell reporting
- Automatic delivery proof at consignee geofences
- Turnaround and utilisation analysis per vehicle, driver and loading point
- Driver behaviour scoring on speed, braking and over-revving for tyre and fuel cost
East Africa Rail Freight and Intermodal Tracking
The asset: the consignment and its container, moving across rail and road legs under different operators. The holder: changes at every handover. What is at stake: visibility across a journey where no single carrier controls the whole route.
Intermodal freight breaks the assumption every vehicle-tracking product is built on: that the tracked object and the moving object are the same thing. A container leaving the Port of Mombasa on the Standard Gauge Railway to the Nairobi Inland Container Depot, then onto a truck for the final leg to Kampala or Kigali, passes through the hands of a rail operator, a depot, a clearing agent and a haulier. Tracking the truck tells the consignee nothing about the two days the box spent on rail or in the depot yard.
The configuration therefore attaches the device to the cargo unit rather than to any vehicle. Long-life battery asset trackers — magnetic, bolt-on or door-mounted — report position on a schedule tuned to the journey rather than continuously, which is what allows a sealed unit to run for the length of a multi-week movement without power. Door-open detection is the critical rule, because a container opened anywhere other than at an authorised depot or the consignee’s yard is the event the whole deployment exists to catch.
Milestone reporting replaces live-map watching on this configuration. The consignee and the clearing agent receive confirmed events — departed port, arrived depot, released, loaded to road, crossed border, arrived consignee — with timestamps, which is the format freight actually operates in. Dwell reporting at each node identifies where a corridor loses time, and in practice the depot and the border post account for most of it. For high-value loads, the same device supports an escalation path into the recovery team, and because the tracker is on the box rather than the truck, a diverted container remains visible after it has been separated from the vehicle that was carrying it.
Trailer and chassis tracking sits alongside it for hauliers running their own equipment. Trailers spend most of their life detached from a prime mover and are routinely the least-accounted-for asset in a transport business, which is why a fleet that knows exactly where its twenty-eight trailers are usually discovers that three of them have been idle in a yard for months.
- Device on the container or consignment, not the vehicle
- Multi-week battery life with journey-tuned reporting intervals
- Door-open detection with position and timestamp
- Milestone events across port, rail, depot, border and consignee nodes
- Node-by-node dwell analysis across the corridor
- Trailer, chassis and reusable-equipment accountability
Commercial fleets are also where mixed asset types first appear inside a single account: a corporate running fifteen staff cars and three delivery pickups, or a transporter adding a fuel bowser and a forklift to the same yard as its trucks. The configuration layers described below are what allow those asset types to share one dashboard without forcing the fuel-card discipline that suits an office fleet onto the corridor-and-tonnage rules a long-haul truck needs.
Assets in Other People’s Hands — Rental and Hire
Where an asset earns by being handed to someone you do not employ, tracking becomes contract enforcement: geofences that mirror the signed agreement, billing verified by instrument rather than by declaration, and the remote control that ends a dispute instead of prolonging it.
Car Hire & Rental Fleets
Remote immobilisation, contract-linked geofences, GPS-verified mileage billing and recovery of overdue rentals — protection attached to every handover.
Explore car hire trackingHired Machinery & Equipment
Independent hour meters on machines working other people’s sites, telemetry-backed hire invoices and remote inhibit for defaulting accounts.
Explore plant hire trackingPrivate Vehicles in Hire Circulation
Your vehicle, someone else’s business: independent visibility of where the asset goes and what it truly earned, reported to your own phone.
See owner trackersCar Hire and Rental Fleet Tracking
The asset: saloon cars, SUVs, safari-spec Land Cruisers and vans, often financed. The holder: a paying customer with a signed contract and a deposit. What is at stake: the vehicle itself, the terms of the agreement, and the billing accuracy the business runs on.
Rental is the sector where the configuration maps most directly onto a legal document. The hire agreement specifies an area, a period, a mileage allowance and a set of prohibited uses; the platform expresses each of those as a rule. The permitted area becomes a geofence — a Nairobi city hire, a Mombasa coastal hire, a safari circuit through the Maasai Mara, Amboseli and Tsavo, or an authorised cross-border movement into Tanzania or Uganda — and a vehicle approaching a border post it is not contracted to cross generates an alert before it reaches the barrier rather than after.
Mileage billing moves from odometer photographs to instrument reading. GPS-verified distance for the exact hire period settles excess-mileage charges without the argument that odometer disputes reliably produce, and the same data supports the fuel-level check at return, where a tank sensor shows precisely how much fuel the vehicle came back with. Both are small recurring amounts that a rental business either collects or quietly writes off across hundreds of hires a year.
Overdue vehicles are the failure case the sector plans around. A vehicle whose contract expires while it is still out moves automatically into an escalation path: contact, then geofence tightening, then recovery. Remote immobilisation is available and is configured to engage only when the vehicle is stationary, coordinated through the recovery team rather than triggered ad hoc from an office. Concealed installation matters more here than in any other sector, because the person in possession of the car has both the time and the motive to look for a device.
The operational half of the configuration is quieter and adds up faster. Utilisation per vehicle shows which units in the fleet earn and which sit; service scheduling runs on measured distance rather than on a booking system’s assumptions; and driver behaviour data, where the business chooses to use it, identifies the customers whose handling is generating the repair bills. Tour operators, corporate long-term lessors and chauffeur-drive businesses run variations of the same setup, with the lease configuration adding maintenance-compliance reporting for the lessor.
- Contract-linked geofences for area, border and safari-circuit limits
- GPS-verified mileage and fuel-level checks at return
- Overdue-contract escalation with standstill remote immobilisation
- Concealed installation and recovery response on every unit
- Per-vehicle utilisation and distance-based service scheduling
- Customer handling data for damage and repair attribution
Plant Hire and Equipment Rental
The asset: excavators, graders, rollers, backhoes, tippers, generators and tractors hired to third-party sites. The holder: a contractor, sometimes with their own operator. What is at stake: the hire invoice, which is denominated in a number the hirer reports.
Plant hire in Kenya is billed by engine hours, and the hour meter sits on the dashboard of a machine parked on somebody else’s site. That single fact creates the sector’s entire risk profile. An independent, ignition-wired hour counter reporting to the owner replaces a declared figure with a measured one, and the gap between the two is the first thing most hire businesses discover after installing. It also resolves the opposite case, where a hirer disputes an invoice: a machine that genuinely ran 46 hours has 46 hours of timestamped record behind it.
Site geofencing is the second rule. A machine hired for a site in Athi River that appears on a different job forty kilometres away is being sub-hired by the contractor on the owner’s asset, and the boundary alert catches it the same day. The same fence handles the end of the hire period: a machine still on site after the contract expires, or a machine loaded onto a low-loader at night, both produce alerts that are otherwise entirely invisible to an owner with twenty units out.
Fuel is the third, and on hired plant it is contested in a specific way. Most hire agreements make the hirer responsible for diesel, which means the owner’s interest is in the machine’s consumption being consistent with its work rather than in the fuel bill itself — a machine burning far more than its benchmark is either being run badly or developing a fault the owner will pay to repair. Where the owner supplies fuel, the tank sensor becomes the primary instrument, since a machine on a remote site with a fuel bowser attending it is one of the easiest places in the country to lose diesel.
Remote inhibit closes the commercial loop for defaulting accounts. Configured to prevent a start rather than to stop a working machine, it gives a hire business a proportionate response to non-payment that does not require sending a recovery truck to a site the owner may not be welcome on. Full capability detail sits on the heavy machinery tracking page, which this configuration shares its hardware with.
- Independent ignition-wired hour metering for hire invoicing
- Site geofences detecting unauthorised sub-hire and relocation
- Contract-expiry and after-hours movement alerts
- Fuel benchmarking on owner-supplied and hirer-supplied arrangements
- Remote start inhibit for defaulting accounts
- Low-loader and night-movement theft alarms
Private Vehicles in Hire Circulation
The asset: one or a few vehicles owned by an individual and operated commercially by someone else. The holder: a manager, an agent, or a rental company acting for the owner. What is at stake: an investment whose performance is reported by the party earning from it.
A large share of Kenya’s hire, taxi and matatu capacity is owned by individuals who do not operate it: a car placed with a rental agency, a van run by a manager, a vehicle put on a ride-hailing platform under someone else’s account. The structure works, and the owner’s only visibility into it is a remittance figure and whatever the operator chooses to explain. Owner-side tracking is a small, self-contained configuration that restores the independent view: where the vehicle went, how far it travelled, how many hours it worked and when it was idle.
The value is comparative rather than forensic. Set the measured distance and active hours against the income remitted, across a few months, and the pattern is immediate — a vehicle earning consistently from 900 kilometres a week is behaving differently from one earning the same from 2,100. It also protects the asset directly: an owner who lives in Nairobi and has a vehicle working in Kisumu or Eldoret gets movement alarms, service reminders based on actual distance, and a recovery path that does not depend on the operator reporting a problem promptly.
Installation is deliberately simple for this configuration — a concealed unit from the car tracker range, fitted at our workshop or at the owner’s location, reporting to a single phone. Owners with several vehicles across different operators typically move to the full fleet management view once the third vehicle joins, because comparing operators against each other is the point at which a portfolio becomes manageable.
- Independent distance, active-hours and position history reported to the owner
- Remittance comparison across months and across operators
- Movement and out-of-area alarms on vehicles working upcountry
- Distance-based service reminders protecting the asset’s condition
- Concealed fitment and recovery response on a single-vehicle account
What unites this group is that ownership and possession are separated by design — the business model depends on somebody other than the owner controlling the asset for a period. That separation is what makes owner-side instrumentation valuable: without it, the owner’s only account of the hire period is the one the holder chooses to give, which is a weak basis for billing, for dispute resolution, and for knowing whether the asset is still where the contract says it should be.
Machines and Static Assets — Plant, Farm and Power
Where value is measured in engine hours and litres rather than kilometres, tracking becomes instrumentation. Location confirms the asset is where it should be; hour meters and fuel sensors do the heavier work of proving what happened while it sat there. This is the group where the word “tracking” describes the least interesting part of the deployment.
Heavy Machinery & Plant
Excavators to graders: true engine hours, one-litre fuel monitoring, low-loader theft alerts and service scheduling by actual use.
Explore machinery trackingTractors & Farm Machinery
Acreage worked from GPS coverage, operator identification on shared machines, seasonal utilisation and fuel control across farm blocks.
Explore agriculture trackingGenerator Tracking
Runtime hours, tank-level monitoring and unauthorised-start alerts for gensets at sites, institutions and events — billing and fuel truth for assets that never move.
Explore generator trackingHeavy Machinery and Construction Equipment Tracking
The asset: excavators, wheel loaders, graders, rollers, backhoes, dozers, cranes and tippers from Caterpillar, Komatsu, JCB, Hyundai, SANY, XCMG and Doosan. The holder: a site operator, often on a rotating shift. What is at stake: a capital asset worth millions of shillings and the diesel that keeps it working.
Construction plant inverts every assumption a road-fleet product is built on. The machine barely moves, so distance is meaningless; it earns by running, so engine hours are the unit; it sits outdoors on a site that empties at 18:00, so the theft window is nightly rather than seasonal; and it consumes diesel at a rate that makes fuel the largest controllable line on a contractor’s cost sheet. The configuration follows those four facts and largely ignores everything a car tracker would emphasise.
Ignition-wired hour metering is the anchor. It produces a runtime figure independent of the dashboard meter, splits productive hours from idle hours, and drives service scheduling at 250-, 500- and 1,000-hour intervals. Idle is the finding that surprises contractors most: an excavator left running through a two-hour wait for a tipper is burning fuel, accumulating service hours and depreciating while producing nothing, and the idle share on an uninstrumented site is routinely a quarter of total runtime.
Fuel monitoring is the second layer and the one that pays for the deployment. Calibrated level sensors in machine tanks, multi-point calibrated for the irregular shapes plant tanks come in, read continuously so that a drop with the engine off is alarmed with time and position. Where a site runs a fuel bowser, the bowser is instrumented too, which closes the chain from delivery to machine and removes the only untracked step in it. Burn benchmarks per machine per hour then surface the unit whose consumption is drifting, which is often the earliest mechanical warning available.
Theft protection on plant is a distinct problem because the machines are stolen by being loaded onto low-loaders rather than driven away. Movement without ignition is therefore the highest-value alert in the set, backed by site geofences with after-hours schedules, main-power-disconnect alerts running on backup battery, and escalation to the recovery team. Contractors working multiple sites across Nairobi, Athi River, Kiambu, Naivasha, Mombasa and the county road programmes run one account with per-site views, so each site manager sees their own plant and the head office sees the whole yard.
- True engine hours with idle separated from productive runtime
- Service scheduling by measured hours with overdue flags
- Calibrated tank sensing on machines and site fuel bowsers
- Burn benchmarking per machine, per operator and per job type
- Movement-without-ignition and low-loader theft alarms
- Site geofences with after-hours rules and per-site access roles
- Utilisation reporting for hire-out, retire and replacement decisions
Agriculture and Tractor Tracking
The asset: tractors, combine harvesters, sprayers, trailers and implements — Massey Ferguson, John Deere, New Holland, Sonalika, Mahindra, Case IH. The holder: a farm operator, a contract crew, or a cooperative member. What is at stake: acres, hours and litres, all of them declared by the people who consume them.
Farm machinery works in the least supervised environment of any asset class on this page. A tractor spends its day inside an irregular polygon nobody is watching, and the record of what it did is an operator’s verbal report. The agriculture configuration replaces that with three measurements. Coverage mapping draws the actual passes across a field block and computes acreage from the GPS track and the registered implement width, which turns a claimed 25 acres into a map showing what was covered. Ignition-wired hour metering gives true runtime against a dash meter that measures ignition-on time and cannot distinguish work from idling. Calibrated tank sensing on machines and on bulk farm storage turns diesel from a caretaker’s ledger into a measured curve.
Operator identification carries more weight here than in most sectors because farm machines are shared. Three operators on one tractor, or a cooperative machine passing between members, produces a situation where nothing can be attributed to anyone. RFID or Bluetooth tags fix that: no tag, no start, and every session — hours, fuel, acres, harsh use — logs against a named person. For cooperatives and machine-sharing groups the same ledger becomes the cost-allocation basis, replacing a negotiated split with measured use per member.
The seasonal structure of farming changes what the platform is doing across the year. During land preparation, planting and harvest it runs as a work-verification engine, with alert thresholds loose on movement and tight on fuel. Between seasons the rules invert: machines parked in remote sheds for months are the longest unattended-asset window we deal with, so movement and tow alarms tighten while fuel alarms relax, and pre-season readiness reports turn the first week of preparation into execution rather than discovery. Contract ploughing operators run the platform as a billing backbone, attaching coverage maps and measured acreage to every client invoice.
Deployment concentrates in the grain belts of Uasin Gishu, Trans Nzoia and Narok, the mixed farming districts around Nakuru, the sugar zones of Bungoma, Kisumu and Kwale, the horticulture and flower estates around Naivasha, the tea estates of Kericho, the rice schemes at Mwea, and the ranches of Laikipia and Nanyuki. Installation happens on the farm; machines never travel for fitting.
- Field coverage maps with acreage worked per session, block and contract
- True engine hours with idle split and pre-season service readiness
- Calibrated fuel monitoring on machine tanks and bulk farm storage
- RFID operator identification and per-member usage ledgers
- Seasonal rule sets switching between work verification and asset guard
- Implement and trailer tracking on multi-year battery units
Generator Tracking and Static Plant Monitoring
The asset: a diesel generator at a site, mast, institution, hospital, hotel or event; a borehole pump; a grain dryer; a cold room. The holder: a caretaker, a site guard, or nobody at all. What is at stake: runtime billing, fuel, and an asset whose failure is only discovered when the power goes.
A generator is the purest version of the case this group describes. It does not move, so location matters only as a theft check; it earns or costs by running, so runtime is the unit; and it holds a tank of diesel in an unattended place, which is the single most predictable fuel-loss scenario in the country. The configuration therefore consists almost entirely of two sensors and a set of rules built on them.
Runtime metering answers the questions that generator operations run on: how many hours it ran, when, and whether that is consistent with the power outages it was supposed to cover. Telecommunications tower operators, hospitals, schools, hotels, flower farms and event hire companies all bill or budget against that figure, and a genset reported as running fourteen hours that actually ran six is a discrepancy nobody can see without an instrument. For rental gensets the same number is the invoice, and the same logic applies as in plant hire — the meter reported by the hirer is not the meter the owner can verify.
Tank-level monitoring handles the fuel side. Continuous reading catches siphoning at night with a timestamp, verifies deliveries against the supplier’s note, and benchmarks consumption per hour against the machine’s own history so that a unit burning above benchmark is flagged as a fault rather than absorbed as a cost. On multi-site operations — a telecom operator with gensets across dozens of masts, or a hotel group across several properties — the reconciliation runs across the whole estate rather than site by site, which is where the pattern of a specific site losing fuel becomes visible.
The rest of the configuration is short: unauthorised-start alerts for gensets being run for private purposes, movement alarms for portable units that should never leave their slab, mains-failure and start-failure reporting so that a generator which failed to take up load is known immediately rather than at the next outage, and maintenance scheduling by runtime hours. Borehole and irrigation pumps on farms and ranches carry the same configuration, where the question is usually whether a pump ran eleven hours to fill a tank that needed four.
- Runtime hour metering for billing, budgeting and outage reconciliation
- Continuous tank-level monitoring with siphon alarms and delivery verification
- Consumption benchmarking per hour against the unit’s own history
- Unauthorised-start and after-hours run alerts
- Movement alarms on portable and skid-mounted units
- Multi-site estate reconciliation across masts, branches or properties
- Service scheduling by measured runtime hours
Same Backbone, Four Layers
Every deployment, in every sector, is built from the same four layers in the same order. Only the choices inside each layer change.
1 · Hardware Layer
The asset dictates the device: concealed 4G units with immobilisation relays for cars and hire fleets, vibration-hardened hour-metering hardware for plant and tractors, compact waterproof units for motorcycles, long-life magnetic trackers for trailers, containers and implements, plus fuel sensors, temperature probes, door sensors, driver ID readers and dashcams where the sector’s losses justify them. All fitted by the installation team and covered by the hardware warranty.
Hardware is chosen first because it sets a ceiling on everything above it. A location-only tracker cannot produce engine hours or a fuel curve retroactively, however well the software is configured, so a wrong sensor decision at survey stage becomes a re-fit later.
2 · Rules Layer
Alerts and automations written in the sector’s grammar: pickup-stage confirmation for schools, contract-expiry immobilisation for hire fleets, after-hours ignition alarms for plant, speed-threshold escalation for PSVs, corridor and border fences for logistics, seasonal rule switching for farms, unauthorised-start alerts for gensets.
The same position stream means different things in different businesses — still on route to a school, off the approved corridor to a transporter — and the rules layer is where that distinction is made rather than in the hardware.
3 · People Layer
Who sees what. Parents see one bus, not the fleet. Site managers see their own site. SACCO officials see compliance summaries without member commercial detail. Department heads see their department. Financiers see the machines they carry risk on. Directors see everything. Role-based access mirrors the organisation rather than forcing the organisation to work around the software.
Alert routing sits in this layer too, and it decides whether a deployment works. An alarm delivered to someone with no authority to act on it trains a fleet to ignore alarms.
4 · Evidence Layer
Each sector’s reports prove what that sector has to prove: mileage statements for hire disputes, speed records for compliance submissions, fuel reconciliations for finance and audit, hour ledgers for warranty and resale, coverage maps for per-acre invoices, delivery confirmations for consignees, runtime statements for genset billing. When hardware needs attention, the repair and maintenance service keeps the record unbroken, because a gap in the evidence is what a disputing party will use.
Sensor and Report Mapping by Sector
| Sector | Earning unit | Primary sensor focus | Primary report |
|---|---|---|---|
| School transport | Route completions | GPS position, speed, stop verification, dashcam | Route and pickup confirmation |
| PSV and matatu | Trips per day | GPS speed, harsh-driving events, fuel | Compliance and speed record |
| SACCO | Member vehicle uptime | GPS speed, route adherence, device health | Fleet compliance summary |
| Taxi and ride-hailing | Kilometres and hours | GPS distance, ignition hours, geofence | Distance versus remittance statement |
| Boda boda | Deliveries or daily remittance | Compact GPS, movement alarm, behaviour | Per-rider activity and recovery log |
| Corporate | Journeys on business | GPS position, fuel card and tank reconciliation | Authorised-use audit trail |
| Logistics | Loads delivered | GPS corridor, cargo door, fuel, temperature | Delivery proof and fuel reconciliation |
| Rail freight and intermodal | Consignments moved | Battery asset tracker, door sensor | Milestone and dwell report |
| Car hire | Hire days and kilometres | GPS geofence, immobilisation relay, fuel level | Mileage and contract-compliance statement |
| Heavy machinery | Engine hours | Ignition-wired hours, calibrated fuel | Hour ledger and service-due report |
| Agriculture | Acres and hours | GPS coverage, hours, fuel, operator ID | Acreage-worked and fuel-burn report |
| Generators | Runtime hours | Runtime sensor, tank level | Runtime billing and refuel audit |
Reading down the earning-unit column explains most of the differences between these deployments. A sector that earns in kilometres needs distance to be correct above everything else. A sector that earns in engine hours needs a runtime figure the holder cannot edit. A sector that earns in acres needs a coverage map. The sensor follows the unit, and the report follows the sensor.
How a Sector Deployment Actually Runs
Survey and Asset List
Every deployment starts with an asset list and three questions: what is at stake, who holds the asset, and what unit it earns in. For fleets of any size a technician surveys on site — the yard, the depot, the farm, the school compound — and records vehicle types, electrical condition, tank shapes where fuel sensing is involved, and who will need access.
Installation Time
A location-only unit fits in roughly 30 to 45 minutes. Adding a calibrated fuel sensor, an immobilisation relay, ignition-wired hour metering or a driver ID reader extends that to 60 to 120 minutes per asset. Teams work multiple units in parallel, so a full yard or school fleet is typically complete in two to three days regardless of size, scheduled around operating hours so vehicles are fitted overnight or between runs.
Handover and Rule Tuning
The dashboard is handed over with the rules already written for the sector, then tuned after roughly thirty days against the fleet’s real operating pattern. This is the step that decides whether alerts stay useful: thresholds set from a template rather than from the fleet’s own data produce either noise or silence.
Coverage Across Kenya and the Region
Installation and support run from Nairobi, including Westlands, Karen and Kiambu, with teams covering Nakuru, Eldoret, Mombasa, Kisumu, Thika, Naivasha, Nyeri, Meru, Kitale and on-site fleet deployments countrywide. Cross-border assets working Ugandan, Tanzanian, Rwandan and South Sudanese corridors remain visible on the platform throughout.
Network Gaps and Buffering
Devices buffer position, sensor readings and events through coverage gaps and upload when signal returns, which matters on ranch blocks, remote sites and sections of the northern corridors. Satellite-fallback hardware is available for assets working permanently outside GSM coverage.
Taking Over an Existing Fleet
A takeover audit tests every installed device, migrates the salvageable units onto the Kendaall platform and replaces only what has failed, handled by the repair and maintenance team. Most inherited fleets keep the majority of their hardware. The faults we find most often are car-grade devices fitted to plant and motorcycles, fuel sensors installed without proper calibration, and rule sets copied from a generic template that never matched the operation.
Mixed Fleets: Three Sectors Inside One Company
A contractor with tippers, excavators and staff pickups is three configurations. A flower farm with tractors, a cold-chain canter, estate gensets and management vehicles is four. A school that also hires out its buses during holidays is two. These are the normal case rather than the exception, and the platform handles them by keeping the configuration at asset level while keeping the account, the login and the reporting at organisation level.
That means a tipper on the contractor’s account carries corridor and fuel rules while the excavator beside it carries hour and site rules, and both appear on the same map with the same alert routing structure behind them. Consolidated reporting rolls up across asset classes where the measure is shared — total fuel, total utilisation, total cost per department — and stays separate where it is not, because an hour ledger and a mileage statement do not add together. Mixed fleets also qualify for combined volume pricing rather than being quoted as separate deployments; the pricing page carries the per-asset packages and the quote form handles the combinations.
Choosing the Right Solution
My business spans several sectors — trucks, staff cars and machines. Do I need three systems?
No — one account, one login, one map. Each asset class carries its own configuration: corridor and fuel rules for trucks, authorised-use policies for cars, hour and site rules for machines. Everything reports into a single fleet management dashboard with per-department views and consolidated reporting. Mixed fleets also qualify for combined volume pricing — see the pricing page.
Is the hardware different per industry, or only the software?
Both. Software rules differ per sector, and hardware genuinely varies: a motorcycle needs a compact waterproof unit, a hire car needs concealed installation with an immobilisation relay, an excavator needs a vibration-hardened device with ignition-wired hour metering and a calibrated tank sensor, a container needs a multi-year battery unit with a door sensor. Fitting car-grade hardware to plant, or the reverse, is the most common fault we correct on takeover fleets. Devices are listed by class in the shop.
Can you take over a fleet already fitted with another provider’s trackers?
Yes. A takeover audit tests every existing device, migrates the salvageable ones onto the Kendaall platform and replaces only what is dead, handled by the tracker repair and maintenance team. Most inherited fleets keep the majority of their hardware, which makes switching providers cheaper than fleets expect. Historical data from the previous platform can usually be exported and archived before the cutover.
Where do you operate?
Across Kenya and into the East African region: installation and support from Nairobi — including Westlands, Karen and Kiambu — plus Nakuru, Eldoret, Mombasa, Kisumu, Thika and on-site fleet deployments countrywide. Cross-border assets on Ugandan, Tanzanian, Rwandan and South Sudanese corridors remain fully visible on the platform.
How do I get sector-specific pricing?
Standard per-vehicle packages are published on the pricing page; sector configurations — fuel sensors, immobilisation, hour metering, dashcams, driver ID — adjust from there, and fleet volumes adjust again. The fastest route is the quote form: tell us the sector, the asset list and the problem that prompted the search, and you receive a configuration and per-asset price mapped to it rather than a generic package.
What if my sector is not among the twelve?
The twelve are the sectors we configure most often, not a boundary on what the platform can do. Ambulances and emergency fleets, driving schools, tour and safari operators, security companies, waste collection, water bowsers, courier networks and warehousing operations have all been fitted with configurations built from the closest matching profile with the rules and reporting layers adjusted. If your operation does not map cleanly onto any of the twelve, a specialist conversation is the fastest way to establish what should be built.
Does adding fuel sensors or immobilisation slow down installation?
Modestly and predictably. A location-only unit fits in roughly 30 to 45 minutes; adding a calibrated fuel sensor, an immobilisation relay or ignition-wired hour metering extends that to 60 to 120 minutes depending on the vehicle or machine. Fleet-wide rollouts are scheduled accordingly, and a full site or yard is typically completed within two to three days regardless of size because teams work multiple units in parallel.
Which configuration applies if I both own and hire out my assets?
The hire configuration governs, because possession sits with someone you do not employ, and the asset-type configuration is layered underneath it. A tractor hired out for contract ploughing carries agriculture rules — coverage, acreage, hours, fuel — plus rental rules for contract geofencing, hire-period expiry and remote start inhibit. The same applies to a generator on rental or a pickup placed with an agency.
Do trackers keep working where there is no mobile network?
Yes. Devices buffer position, sensor readings and events through coverage gaps and upload automatically when signal returns, so a day worked beyond a ridge or a night parked on a remote site still produces a complete record. Alerts queued offline transmit the moment the device reconnects. Satellite-fallback hardware is available for assets working permanently outside GSM coverage — raise it at quote stage so the right unit is specified from the start.
Who can see the data inside my organisation?
Access is role-based and mirrors how the organisation works. Parents see one school bus; site managers see their own site; SACCO officials see compliance summaries without member commercial detail; department heads see their department; financiers and lessors see only the assets they carry risk on; directors see the consolidated fleet. Data is stored off-site rather than on the device, so a stolen tracker does not take the history with it.
What happens if a driver or operator disconnects the device?
Main-power disconnection raises an alert immediately while the unit continues reporting on backup battery, sensor-disconnect flags cover fuel probes and door sensors specifically, and GPS-jamming detection covers the more deliberate attempt. A device going silent is itself an exception in the reporting, so a unit that stops transmitting during a particular shift each week is visible as a pattern rather than as an absence.
How long before the data is worth acting on?
Position, ignition, hours and geofence alerts are live from fitment. Fuel becomes interpretable after the first two or three fills, once the calibration curve has been exercised across the tank’s range. Consumption benchmarks, idle-share comparisons and utilisation patterns need two to four weeks of normal operation to stabilise. The thirty-day review exists for that reason: it is the first point at which measured numbers can be set against what the operation previously assumed.
Regulatory and Technical Background
Primary sources behind the regulatory and technical context of the sector configurations above:
External links are provided for background and context only; Kendaall Tracking is not affiliated with the organisations listed.
Tell Us What You Run and What It Should Be Telling You
Three matatus, a school run, forty trucks, a yard of yellow machines, a farm of tractors or a row of gensets — describe the operation and a specialist maps it to the right configuration, with references from clients in the same sector on the testimonials page.
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