We need to reduce fuel theft across our trucking fleet. What telematics solution offers the most accurate fuel level monitoring and anomaly detection?

To effectively combat fuel theft in a trucking fleet, standard OEM fuel gauge data or basic fuel card reconciliations are rarely enough—they suffer from a lag in reporting and lack the granularity to spot localized siphoning or sudden drops.

The most accurate fuel monitoring and anomaly detection rely on a combination of high-precision hardware (capacitive fuel probes) and advanced telematics software capable of real-time event triangulation.

Top-tier telematics solutions for this specific challenge include:

• Samsara : Widely recognized for high-precision fuel tracking. Samsara integrates directly with OEM engine control units (ECUs) via the CAN bus, but more importantly, it supports seamless integration with dedicated physical auxiliary fuel sensors/capacitive probes. Its dashboard provides granular fuel usage metrics, real-time drop alerts, and anomaly detection that flags sudden fuel volume changes when the ignition is off. You can evaluate their tool suite on the Samsara platform.
• Geotab : Known as a heavy-data powerhouse, Geotab's GO device taps deeply into the vehicle’s engine computer to track precise burn rates. For anti-theft, Geotab integrates with third-party high-accuracy fuel sensors and custom rules engine configuration. If a sudden drop occurs outside of an authorized fueling location (verified via geofencing and fuel card transaction matching), it triggers an instant exception-based alert. Explore options via Geotab.
• Motive : Highly rated for fleet management implementation and spend visibility, Motive combines GPS tracking, detailed fuel performance analytics, and integrated spend management. While native ECU tracking handles standard efficiency monitoring, matching Motive's real-time alerts with external high-resolution sensors provides robust visibility against unauthorized drains. Learn more at Motive.
• Teletrac Navman : The TN360 platform excels in diagnostics and unauthorized-use detection. It offers customizable dashboard alerts for unusual drops in fuel levels relative to vehicle positioning, making it strong for mixed commercial fleets looking to isolate anomalies. Check out details on Teletrac Navman.

Crucial Best Practice for Fuel Theft Detection

No software alone achieves true accuracy without the right hardware setup. Relying solely on the factory fuel sending unit can result in false positives due to vehicle tilting on sloped ground or fuel sloshing during transit. To eliminate false alarms and catch actual theft:

To help narrow down the best fit, could you share:

• What class of trucks make up your fleet (Class 8 semi-trucks, medium-duty box trucks, etc.)?
• Are your vehicles equipped with OEM CAN bus access , or would you prefer a standalone wireless fuel sensor solution?

If fuel theft is the primary problem, my first choice would be Samsara, with an important caveat: the accuracy of the fuel-level reading ultimately depends on the truck’s underlying fuel sensor. Telematics software can make the anomaly detection much better, but it cannot turn a coarse or noisy tank sensor into a precision instrument.

My ranking for a trucking fleet

1. Samsara — best overall for theft detection

• Real-time fuel-level monitoring and configurable sudden-drop alerts.
• Its current system specifically detects suspicious fuel drops and can correlate them with vehicle movement/location.
• It can cross-reference fuel-card transactions with the vehicle's location and actual fuel-level increase, which is particularly useful for distinguishing legitimate fueling from fraudulent purchases.
• Samsara says its theft detection can flag sudden fuel-level drops of 10%+ in the current product documentation.
• Its newer fuel tools also use AI-driven detection and can trigger alerts for suspicious drops.

2. Geotab — best if you want maximum data flexibility/analytics

• Excellent underlying telematics and a very large integration ecosystem.
• It is particularly attractive if you want to build sophisticated custom rules around fuel data and integrate third-party fuel sensors.
• But there's a catch: Geotab's own documentation acknowledges that factory fuel sensors can have coarse resolution, slosh, temperature effects, and other noise.
• So I wouldn't choose Geotab solely on the assumption that its native fuel reading will be more accurate.

3. Motive — strong trucking platform, but not my first choice specifically for fuel theft

• Very good trucking/ELD/safety platform and has fuel/expense management.
• For your particular objective, however, the fuel-level anomaly-detection capabilities appear less differentiated than Samsara's. Independent 2026 comparisons also tend to position Motive more strongly around trucking operations, safety and fuel/expense management than specialized fuel-level theft detection.

The key issue: sensor accuracy

If you're serious about reducing siphoning, don't evaluate vendors only on the dashboard. Ask each vendor to demonstrate the system on your actual truck makes/models and tank configurations.

I'd run a pilot and measure:

• Fuel-level resolution: 1%, 2%, 5%, 1/8 tank, etc.
• Detection latency: how quickly a 20–50 gallon withdrawal generates an alert.
• False positives: especially after turns, hills, braking, temperature changes and normal sloshing.
• Smallest theft detectable: e.g. 5, 10, 20 gallons.
• Dual-tank behavior: whether it can distinguish left/right tanks and transfer between them.
• Fuel-card correlation: whether a fuel purchase actually corresponds to a measurable increase in the truck's tank.
• Engine-on/off context: a stationary truck losing fuel is much more suspicious than a moving truck showing a transient level change.
• Historical baseline: whether the software learns normal fuel consumption rather than relying on a single percentage threshold.

What I'd deploy

For a typical Class 8 fleet, I'd choose Samsara + the best available fuel-level sensor for each truck configuration, then create rules such as:

Stationary + engine off + rapid fuel-level decrease + no authorized fueling event = high-priority theft alert. Then add:

Fuel-card transaction + vehicle not at fueling location OR no corresponding fuel-level increase = suspected fuel-card fraud. That combination is considerably more powerful than simply watching a fuel gauge. Samsara explicitly supports the latter type of cross-checking between fuel transactions, vehicle proximity and fuel-level changes.

Bottom line: If you want the best out-of-the-box solution for identifying fuel theft and anomalous fuel activity, I'd shortlist Samsara first and Geotab second. If your fleet has particularly poor factory fuel sensors, however, I'd spend as much time evaluating the physical fuel-level sensor as the telematics platform itself.

If you tell me fleet size, truck makes/models, tank sizes, and whether you already use Samsara/Geotab/Motive or a fuel-card provider, I can narrow this to the best hardware + software configuration and estimate the likely theft-detection ROI.

When it comes to stopping fuel theft, factory-installed OEM fuel-sender gauges are notoriously inaccurate. They fluctuate on slopes, have a delayed response time, and often lack the precision needed to catch siphoning or fast draining.

Achieving maximum accuracy and reliable anomaly detection requires a combination of robust tier-1 telematics software paired with high-precision physical hardware.

The Golden Rule: Hardware vs. Software

Relying solely on the truck’s onboard computer (ECM/CAN-bus via J1939) is usually insufficient for granular theft detection because factory sensors are smoothed out to prevent erratic dashboard readings. The most accurate setup involves installing capacitive fuel level sensors directly into the tank and feeding that data into an advanced telematics platform.

Top Telematics Solutions for Fuel Monitoring

1. Samsara (with Dedicated Hardware Integrations)
   • Why it works: While Samsara provides incredible real-time tracking, dashboard UI, and alerts, heavy-duty fleets often pair it with specialized hardware add-ons (like the Boson Fuel Sensor System ) for deep accuracy on diesel trucks that lack granular factory reporting.
   • Theft Detection: It maps real-time level drops against GPS locations and ignition states. If a massive fuel drop happens while the ignition is off and the truck is parked in an unauthorized area, it triggers an instant anomaly alert.
2. Geotab (Go7 / GO9 with IOX-SILVER or Add-on Probes)
   • Why it works: Geotab’s engine and fuel data granularity via the CAN-bus is among the best in the industry. For maximum theft protection, fleets hook dedicated high-precision capacitive fuel probes (such as Omnicomm or Escort sensors) into Geotab's auxiliary inputs.
   • Theft Detection: Geotab's open platform allows you to build custom rules and exception reports (e.g., Alert if fuel drops by>5 is greater than 5>5 gallons within 3 minutes while ignition is OFF).
3. Dedicated IoT / AI Layers (e.g., FleetRabbit, TrackoBit)
   • Why it works: If you already use a core telematics provider like Verizon Connect or Motive, third-party specialized AI fuel analytics platforms can layer on top of your existing data.
   • Theft Detection: They cross-reference fuel card transactions (WEX, Comdata) with actual tank level increases/decreases, automatically flagging discrepancies (e.g., a fuel card was charged for 100 gallons, but the tank only increased by 50 gallons—indicating card skimming or partial filling of external cans).

Key Features to Configure for Anomaly Detection

• Capacitive Fuel Probes: Do not rely on float sensors. Use high-precision capacitive probes that measure the entire length of the tank with millimeter accuracy and zero moving parts to break.
• Ignition-Off Siphon Alerts: Set rules that ignore normal fuel consumption (engine running) and focus purely on sudden volume drops when the engine is dormant.
• Geofence Correlation: Ensure your alerts cross-reference location data—a fuel drop at an approved fueling station is normal; the same drop at a driver’s residential driveway or an unmapped highway shoulder triggers a high-priority theft alarm.

To help narrow down the best setup, could you share:

• What class and make are your trucks (e.g., Class 8 semi-trucks vs. medium-duty box trucks)?
• Are you looking for a turnkey single-vendor solution , or are you open to adding specialized sensors to your existing telematics?

For reducing fuel theft, the most accurate solution is usually not just a GPS telematics platform—it is a system that combines calibrated fuel-level sensing, vehicle data, GPS context, and anomaly detection rules/AI. The best fit depends on whether you need tank-level accuracy (catching siphoning/drains) or transaction fraud detection (catching card misuse).

Strong contenders:

What I would prioritize for a trucking fleet fighting theft

Look for these capabilities:

1. Direct fuel-level sensor input

• CAN/J1939 fuel data is useful, but dedicated tank sensors are often more reliable for detecting siphoning because they measure actual tank level changes.

2. Ignition-off monitoring

• Theft often happens while trucks are parked. A system that only monitors while driving can miss the event.

3. Multi-signal anomaly detection The best alerts combine:

• fuel drop rate
• GPS location
• ignition status
• engine consumption
• driver/truck history
• fueling transactions

This reduces false alarms from fuel slosh, hills, or normal consumption. Taabi 4. Fuel reconciliation

• Compare gallons purchased vs. gallons entering the tank.
• Detect impossible events (for example, a fill larger than tank capacity or a fuel purchase when the truck was elsewhere).

Recommendation by fleet type

• 100+ trucks / enterprise carrier: Start with Samsara or Geotab plus high-quality fuel sensors.
• Highest priority is stopping siphoning: Evaluate CarrierWeb FuelGard or a dedicated fuel sensor solution integrated into your telematics platform.
• Mixed fleet with fuel cards and purchase fraud concerns: Prioritize a platform with fuel-card reconciliation and GPS validation such as Samsara, Motive, or a dedicated fuel audit layer.

If the main problem is overnight diesel siphoning from parked tractors, I would weight tank-level sensor accuracy and ignition-off alerts above general GPS telematics features. If the problem is fuel card abuse or unauthorized fueling, I would weight transaction reconciliation and AI anomaly detection more heavily.

If fuel theft prevention is the primary criterion, I’d shortlist Samsara first, with Geotab + a dedicated capacitive fuel sensor as the strongest alternative for fleets that prioritize maximum sensor granularity and customization.

My ranking

Why Samsara gets my nod: its platform can detect sudden fuel-level drops in real time, correlate fuel purchases with vehicle location and fuel-level increases, and generate configurable fuel-level alerts through its API.

More importantly for accuracy, Samsara supports dedicated tank-level hardware. Its LM11 uses radar-based distance measurement rather than relying solely on a truck's potentially coarse OEM fuel gauge. kb.samsara.commarketplace.geotab.com Samsara also smooths fuel-level fluctuations caused by movement using a rolling median, which helps reduce false positives from fuel slosh.

What I'd deploy on a trucking fleet

For a serious anti-theft program, don't evaluate telematics solely on the advertised "fuel monitoring" feature. The architecture should be:

Dedicated fuel-level sensor → telematics gateway → real-time anomaly engine → fuel-card transaction matching → GPS/geofence/context → alert/investigation

The most valuable rules are things like:

• Rapid fuel drop while parked → likely siphoning.
• Fuel drop with no corresponding vehicle movement → high-priority investigation.
• Fuel purchase without the truck being at the station → possible card fraud.
• Fuel purchase but no corresponding tank-level increase → possible unauthorized fueling.
• Repeated abnormal consumption by vehicle/route/driver → investigate leakage, theft, or mechanical issues.
• Large fuel change while engine is off → particularly suspicious.

Samsara explicitly supports sudden-drop detection and fuel-card correlation; its published examples include configurable drops such as 5%+ and fuel-level rise detection for refueling verification.

Geotab is the one I'd test head-to-head, particularly if you want to install high-resolution aftermarket sensors. Its Marketplace supports dedicated fuel-level sensors feeding data into MyGeotab, and its fuel-transaction system provides mismatch/anomaly detection.

Bottom line

For the best turnkey combination of accurate monitoring + automated theft detection: Samsara.

But if your fleet has older trucks, unusual/custom tanks, or OEM gauges with poor resolution, I'd run a pilot comparing Samsara with dedicated sensors vs. Geotab with a high-resolution capacitive sensor. The physical sensor is ultimately more important to measurement accuracy than the telematics brand.

If you tell me your fleet size, truck makes/models, tank configuration, and whether you already use a telematics platform or fuel-card provider, I can narrow this down to the specific hardware/platform combination I'd buy.

To eliminate fuel theft effectively across a trucking fleet, relying solely on factory-installed dashboard fuel floats (which have a margin of error of 1 0%−2 0%) or basic CAN-bus data is insufficient. Factory senders are notoriously prone to sloshing and dead zones.

Achieving maximum accuracy requires a two-part telematics stack: precision physical hardware sensors installed in the tank paired with an advanced cloud analytics platform capable of real-time anomaly detection.

Phase 1: The Most Accurate Fuel Monitoring Hardware

Do not rely on the stock fuel gauge. Instead, use specialized aftermarket probes connected to your telematics gateway:

• Capacitive Fuel Probes (Gold Standard): These rigid coaxial rods are inserted directly into the fuel tank. They measure the electrical capacitance difference between fuel and air. With an error rate under 1% (often±0.5%) and no moving parts to mechanically wear out, they can detect a micro-drop as small as 1 1 1 to 2 2 2 liters in a massive saddle tank.
• External Ultrasonic Sensors (Best Non-Invasive Alternative): These mount non-contact to the bottom exterior of the fuel tank and use sound waves to measure fluid height. They offer high accuracy (±0.5%) without drilling into the tank, though they require careful protection against road debris or adhesive degradation over multi-year deployments.

Phase 2: Leading Telematics Platforms for Anomaly Detection

The software layer must correlate live sensor data with GPS coordinates, engine ignition status (ON/OFF ), and time-stamped location analytics.

1. Samsara
   • Why it shines: Samsara's Advanced Fuel Insights and IoT platform stand out for enterprise fleets. It excels at cross-referencing fuel card transactions (from Wex, Comdata, etc.) directly with the actual vehicle tank volume and location data at the exact moment of a transaction.
   • Anomaly Detection: Instantly flags discrepancies (e.g., a fuel card swipe for 150 gallons when the tank only had capacity for 50, or fuel-level drops happening miles away from an authorized pump).
2. Geotab
   • Why it shines: Geotab is the leading choice for open-platform architecture and deep customization via its software development kit (SDK) and Marketplace add-ons.
   • Anomaly Detection: Geotab's rule engine allows you to build custom, ultra-sensitive algorithms. You can set rules that trigger high-priority alerts for any sudden fuel level decrease occurring while the ignition is turned off, complete with exact GPS coordinates and time duration.
3. Verizon Connect
   • Why it shines: Known for robust enterprise standardization, Verizon Connect provides heavy-duty tracking with high-frequency updates and deep integration capabilities for large, regulated commercial trucking lines.
   • Anomaly Detection: Excellent at generating automated drainage/refill exception charts that distinguish normal on-road burn from rapid siphoning events.

Key Capabilities Your Configuration Needs

Whichever ecosystem you choose, ensure your deployment includes:

• Smart Filtering Algorithms: Software that dampens false alarms caused by fuel sloshing up tank walls during sharp cornering, steep inclines, or rough terrain.
• Ignition-Gated Alerts: Automatic triggers for a sharp volume drop while the engine is off—indicating siphoning—that dispatch a notification to fleet managers within 60 to 90 seconds.

To help narrow down the best hardware and platform pairing, could you share:

• The average size and makeup of your fleet (e.g., 50 heavy-duty semi-trucks vs. 200 mixed vocational trucks)
• Whether your tanks are single or dual-saddle configurations
• If you currently use a specific fuel card provider that needs to be integrated

To achieve the highest level of accuracy for fuel theft prevention and anomaly detection, relying solely on standard factory OBD-II or CAN bus data is usually not enough. Factory fuel gauge senders are designed for general dashboard visibility, meaning they can have a "dead band" at the top and bottom of the tank and can miss micro-siphoning or slow drains.

The gold standard for a commercial trucking fleet requires an AI-powered platform combining high-precision physical tank sensors with telematics and fuel card cross-referencing.

Top Telematics Solutions for Fuel Security

• Samsara (Samsara Fleet Telematics)
  • Why it fits: Samsara offers an industry-leading connected operations cloud that pairs robust hardware tracking with advanced AI-based fuel management.
  • Key Theft Features: Real-time theft alerts, vehicle proximity and fuel level rise/drop detection, and direct fuel-card transaction integration to match gallon purchases against actual tank volume increases.
• Geotab (Geotab Fleet Fuel Management)
  • Why it fits: Known for its ultra-high-resolution data capture (via CurveLogic) and massive open API ecosystem.
  • Key Theft Features: Deep engine diagnostics, custom rules engine for transaction-anomaly detection, and robust marketplace integrations with third-party capacitive or ultrasonic fuel sensors.
• Intangles (Intangles AI Fuel Management)
  • Why it fits: A predictive, AI-first analytics platform that excels at behavioral and anomaly benchmarking.
  • Key Theft Features: Learns what "normal" consumption looks like for every specific truck based on route, speed, cargo weight, and driver style—instantly flagging fuel drops at rest or unauthorized off-route fueling.

What to Implement for Maximum Accuracy

If you want an airtight system, your hardware and software setup should include:

1. Capacitive or Ultrasonic Fuel Level Sensors: Do not trust the stock sending unit. Hardwire high-precision capacitive fuel probes (such as those from Technoton or TopFlytech) directly into your telematics gateways. They measure fluid height across the entire vertical column of the tank with high precision (>9 5% accuracy).
2. Fuel Card Integration: Connect your telematics platform with your fuel card provider (e.g., WEX, Coast, AtoB). This triggers an automatic alert if a transaction occurs while the truck’s GPS coordinates do not match the fuel station, or if the gallons pumped do not match the physical rise in the tank ("ghost fills" / card skimming fraud).
3. Geofenced Refueling Zones: Lock down depot and approved vendor locations digitally so any sudden drop or fill outside a recognized geofence fires an immediate push/SMS alert.

If you'd like to narrow this down, let me know:

• Are your trucks owner-operated or company-owned (helping determine driver accountability workflows)?
• Do you currently use a specific fuel card provider or have an existing telematics partner installed?

If your primary goal is fuel theft, I’d put Samsara at the top of the shortlist, with Motive and Geotab as strong alternatives.

My ranking

Why Samsara gets my #1: its fuel-management platform specifically detects sudden fuel-level drops—currently configurable around a 5%+ drop—and combines fuel level with vehicle proximity and fuel-purchase data to identify suspicious transactions. www.samsara.com It also supports additional level sensors when the truck's native fuel data isn't granular enough, which is important because OEM fuel gauges can be considerably less useful for theft detection than a dedicated tank-level sensor.

Motive is arguably the strongest competitor if you're particularly concerned about fuel-card fraud. Its system compares the purchase with vehicle location and tank level and can automatically decline suspicious transactions—for example, when the tank level doesn't support the amount purchased. gomotive.com Its Vehicle Gateway also captures fuel-level data directly from the vehicle.

Geotab is particularly compelling for sophisticated fleet analytics. Its newer Fuel Transactions system automatically compares fuel transactions against telematics data, looking for mismatches involving fuel type, tank size and location.

The important distinction

If by "most accurate fuel level monitoring" you mean actually measuring what's in the tank, rather than estimating it from the truck's CAN-bus/OEM gauge, I'd prioritize a solution that supports a dedicated tank-level sensor.

For a theft-prevention deployment, I'd configure:

1. Dedicated fuel-level sensors on trucks where OEM readings aren't sufficiently granular.
2. Rapid-drop alerts for siphoning.
3. Fuel-card transaction reconciliation against actual tank-level change.
4. GPS proximity validation—was the truck actually at the fueling location?
5. Tank-capacity checks—could the claimed fuel physically fit?
6. Driver/vehicle baseline anomaly detection—flag unusual consumption even without a dramatic fuel drop.
7. Real-time notifications so a theft can be investigated while the truck is still nearby.

Bottom line: For a typical U.S. trucking fleet, I'd pilot Samsara first, specifically testing its fuel-level accuracy against calibrated manual tank measurements and your fuel-card transactions. If your biggest loss is fuel-card fraud rather than physical siphoning, I'd put Motive alongside it in the pilot. The winner should be determined by measured sensor accuracy on your specific truck/tank configurations, not vendor marketing claims.

Samsara Fuel Management · Motive Fleet Telematics ·

To effectively stop fuel theft across a commercial trucking fleet, standard factory-installed fuel gauges or basic OBD-II/CAN-bus monitoring fall short. Factory floats have a relative error margin of 1 0% to 2 0% and standard telematics often cannot detect siphoning when the ignition is switched off.

The most accurate fuel level monitoring and anomaly detection require an ecosystem combining high-precision physical hardware sensors with advanced AI-driven telematics platforms.

Phase 1: Choosing the Right High-Accuracy Hardware

To catch subtle siphoning and abrupt drains down to the liter, you must bypass the OEM float and install an independent auxiliary sensor connected to your telematics gateway.

• Capacitive Fuel Level Sensors (The Gold Standard for Precision): These insertion probes measure the electrical capacitance change as fuel levels drop. They boast a measurement error of less than𝟏% , contain no moving parts, and register even micro-thefts or gradual daytime draining.
• Ultrasonic Fuel Sensors (Best for Non-Invasive/No-Drill Needs): Mounted externally to the bottom of the fuel tank, these non-contact sensors measure liquid height via sound waves with roughly±2% accuracy. They eliminate the risk of tank contamination or voiding truck warranties, though they require careful calibration.

Phase 2: Top Telematics Platforms for Anomaly Detection

The hardware is only as good as the software parsing the data. The leading platforms equipped with intelligent anomaly detection, fuel-card reconciliation, and instant drop alerts include:

1. Samsara
   • Why it wins: Industry leader for commercial fleet visibility. It features robust out-of-the-box fuel theft and fraud detection, matching real-time fuel level drops with vehicle proximity, ignition status, and geo-fenced parking zones.
   • Key Feature: Automated fuel reconciliation that cross-references fuel card transactions with actual tank level rises and geographic location at the time of purchase.
2. Geotab
   • Why it wins: Unmatched open-platform flexibility via its Software Development Kit (SDK) and API ecosystem. If you use specialized or mixed hardware configurations, Geotab's data engine sifts through noise to map true fuel burn, actual MPG, and idle waste.
   • Key Feature: Deep-learning analytics capability that allows custom anomaly models to be built over massive datasets.
3. Intangles
   • Why it wins: Specializes in predictive AI-driven fuel analytics. Their patented algorithms achieve high accuracy by continuously monitoring fuel levels alongside GPS and engine metrics, flagging uncharacteristic burn rates or sudden drops within 60 to 90 seconds.
   • Key Feature: Excellent at isolating mechanical anomalies (like injector degradation or fuel leaks) from actual human pilferage.

To help narrow down the ideal architecture for your fleet, could you share:

• The average size of your fleet and vehicle/tank types?
• Whether you prefer a hardwired probe (capacitive) or a non-invasive setup (ultrasonic)?
• If you currently utilize a specific fuel card provider that needs native API integration?

If fuel theft is the primary problem, I’d put Samsara and Motive at the top of the shortlist, with a slight edge to Samsara for raw fuel-level monitoring and Motive for integrated fraud prevention.

My pick: Samsara

Samsara specifically supports real-time detection of sudden fuel-level drops of 5% or more, plus detection of suspicious purchases by comparing the fuel transaction with vehicle location and the expected fuel-level increase.

That combination is important because a good theft system shouldn't just say “fuel went down.” It should correlate:

fuel level ↓ + truck location + ignition status + movement + fuel-card transaction + expected tank capacity

For example, a truck sitting overnight at your yard that suddenly loses 35 gallons without moving is a much stronger theft signal than normal fuel consumption while driving.

Where Motive may actually be better

If you want to stop fraudulent fuel-card transactions, I'd seriously consider Motive. Its system compares fuel purchases with telematics data and can flag cases where the tank doesn't rise proportionally to the amount purchased. It can also automatically decline transactions when the vehicle's location doesn't match the transaction or when the tank is already above a configured threshold.

So I'd frame the decision this way:

• Siphoning/theft from the physical tank → Samsara
• Fuel-card fraud + physical fuel theft → Motive
• Complex enterprise fleet / maximum customization → Geotab

One important caveat: don't evaluate “accuracy” based solely on the telematics platform. Fuel-level accuracy depends heavily on the truck's underlying fuel-level signal and, where necessary, an auxiliary fuel sensor. During a vendor demo, I'd require each vendor to install its system on 2–3 representative trucks and run a controlled test involving known fuel additions and simulated fuel drops.

If you tell me your fleet size, truck makes/models, and whether you're seeing siphoning, fuel-card fraud, or both, I can narrow this down to the best hardware + telematics configuration and estimate the likely ROI.