From chaos to control: How IoT Logic helps rental & leasing improve work

Imagine you manage a busy vehicle leasing company in Mexico City. One morning, you discover that a high-value truck has disappeared. No GPS trace. No way to contact the driver. No immediate recourse. Meanwhile, a competitor is facing a similar attempt, but thanks to advanced telematics, their system immediately detects unauthorized behavior, pinpoints the vehicle’s exact location, and triggers an engine shutoff remotely. Within minutes, the authorities are notified and recovery is underway.

This represents a proactive approach to fleet protection through telematics technology. In Mexico and across Latin America, vehicle leasing companies are turning to digital solutions to combat rising theft and take control of their fleets like never before. Read on to discover how Navixy’s IoT Logic can help your company strengthen vehicle security and improve operations.

Why LATAM leasing companies can’t afford to ignore telematics

Latin America faces a fleet security crisis with vehicle theft rates reaching 214 per 100,000 inhabitants in Brazil and economic losses exceeding $500 million annually. Crime costs consume 3.44% of regional GDP, nearly double Europe's 2%.

Consider these numbers:

• Brazil: 450,000 vehicle thefts annually (1,000+ daily), with Rio de Janeiro showing the highest rate at 562 cases per 100,000 vehicles
• Mexico: 136,512 total vehicle thefts in 2023, with a concerning 35% surge in robbery attempts in early 2025
• Colombia: 53,302 vehicle thefts in 2023, representing a 7.3% increase

The true cost of this hostile environment extends far beyond vehicle replacement:

• Insurance premiums consume 5-15% of fleet value
• Operational disruptions average $65,000 per affected driver annually
• Fleet downtime affects 20% of vehicles annually
• Insurance protection gap across LATAM's largest markets: $76 billion

Implementation of telematics solutions is essential for companies that want to protect their fleets. Fleet security technology produces dramatic results, with GPS-equipped vehicles achieving recovery rates of 90-98% compared to just 31-43% for unprotected vehicles. Advanced systems demonstrate their effectiveness through remarkably fast response times, with average recovery taking only 26 minutes. The return on investment proves compelling, delivering 2-5x returns through combined operational improvements. Beyond theft prevention, these systems provide substantial additional benefits including 45% accident reduction, 50% lower insurance payouts, and fuel economy improvements ranging from 5-33% through enhanced driver behavior monitoring.

With theft rates triple European averages and losses approaching $1 billion annually, Latin America's fleet operators face an existential threat. However, the solution is proven: comprehensive telematics systems deliver immediate security benefits, operational savings, and strong ROI.

Let’s find out what real benefits telematics platforms like Navixy provide to renting and leasing companies and how to leverage it. You can use Navixy as more than a simple GPS-monitoring platform, but a complete telematics ecosystem that can respond to all challenges in rental and leasing. Explore the demo and form your own opinion of this MRM solution.

What today’s leasing operators need to stay competitive

To stay competitive and profitable, vehicle leasing companies require more than just asset tracking — they need complete operational intelligence. We analyzed our customers' needs across the LATAM region, and these are the most common challenges they face on a daily basis and how Navixy responds to them:

Business request	Why do they need it?	Navixy’s response
Asset protection	Minimizing the risk of vehicle theft or misuse and safeguarding investments	Remote engine control (immobilization) to prevent or respond to unauthorized use
Contract compliance	Ensuring that clients respect geographical, temporal, and mileage limitations defined in the lease	Geofencing and time-based rules to enforce territorial and contractual limits
Cost control	Reducing fuel consumption, unauthorized mileage, and unexpected maintenance costs	Fuel level monitoring, engine hours and mileage tracking for operational transparency
Driver accountability	Knowing who is behind the wheel, how the vehicle is being driven, and enforcing responsible behavior	Driver identification and access control using RFID, iButton, and BLE technologies, EcoDriving (Driver Behaviour) reports
Predictive maintenance	Avoiding breakdowns and extending vehicle life by maintaining them at the right time	Maintenance scheduling based on mileage, engine hours, or time intervals. CheckEngine and other alerts
Real-time visibility and alerts	Monitoring fleets in real time and receiving actionable alerts that allow for quick decisions	Real-time GPS tracking to monitor vehicle location, movement, and current state
Integration with business systems	Connecting telematics data with internal platforms like ERPs, CRMs, or leasing management systems	REST API and webhook support for integration with leasing CRMs and ERPs

How Navixy IoT Logic helps solve operational challenges

Navixy and especially its IoT Logic tool allows rental and leasing businesses to switch from costly problem-solving to problem prevention without additional investment. Below are some of the most common use cases of IoT Logic implementation by our users straight from the field.

With IoT Logic, fleet owners can:

• Build customized alerts based on actual usage, cost, or location
• Prevent contract breaches, fuel waste, and overuse
• Automate service workflows and ERP sync
• Offer proactive tools that differentiate your leasing services
• Gain trust and transparency with clients

Standardizing fuel monitoring across diverse fleets

Sofia manages operations at a leasing company in Latin America. Her fleet includes everything from small sedans to delivery vans, each with different fuel tank sizes. Every day, she’d check the dashboard and see fuel levels reported in liters: 10, 25, 40.

But what did those numbers actually mean?

For one vehicle, 10 liters was fine. For another, it meant an urgent refuel. Without context, Sofia couldn’t compare fuel levels or send drivers timely alerts. A few vehicles even stalled on the road, and clients began to ask why fuel monitoring wasn’t more precise.

That’s when Sofia’s team turned to Navixy IoT Logic. With a few simple steps, they fixed the issue:

1. Input: GPS trackers continued reporting fuel in liters.
2. Tank Size: For each vehicle, they entered its fuel tank capacity — 70L in this example.

Formula: Using a virtual sensor, the system converted liters into a percentage:
(fuel_liters / tank_capacity) * 100
So 10.5 L became 15%.

3. Automation: They set a rule: when fuel drops below 15%, send an alert.
4. Results: Drivers and managers now get app or email notifications before running low.

In just a few days, Sofia’s fleet monitoring transformed. No more guesswork. No more breakdowns due to empty tanks.

What benefits did she gain for the business?

• Fuel data became consistent and easy to compare.
• Alerts enabled proactive refueling, especially in remote areas.
• Client reports became clearer and more professional.
• Fuel tracking turned into a premium feature for long-term contracts.

Sofia didn’t need a technical team or new devices — just the right implementation of her data in IoT Logic. This tool helped Sofia to bring clarity and reliability to her daily operations. One simple change, converting liters to percentages, turned fuel monitoring into a powerful tool.

Automating mileage-based billing with real-time logic

Each month, Jorge's team received odometer values from GPS devices: 10,000 km, 12,500 km, 18,300 km. But what did those numbers mean in terms of cost? Without a clear link between mileage and billing, disputes kept piling up. Clients began questioning charges, and Jorge’s staff spent hours manually calculating costs.

That’s when the team adopted Navixy IoT Logic. They automated the entire process:

1. Input: GPS devices continued sending odometer readings in kilometers.
2. Rate: The team defined a fixed rate — $0.50 per km, as per the contract.
3. Formula: Using a virtual sensor, they applied the equation:
   odometer_value * 0.5
   10,000 km became $5,000.
4. Automation: The system calculated usage costs in real time. Invoices were generated based on actual mileage, with no manual intervention.

The impact was clear:

• Jorge began tracking cost per km across vehicle types, spotting patterns for optimization.
• Invoices reflected exact usage, and no more corrections were needed.
• Jorge’s team significantlycut admin work.
• Clients received transparent, itemized bills.

Jorge’s team didn’t change hardware or hire analysts. They just configured their fleet data in IoT Logic.

Creating contract-specific alerts with virtual sensors

Adrian manages client accounts at a vehicle leasing company in Mexico. His fleet includes light trucks, sedans, and construction pickups, each leased under different usage terms.

Each client had specific limits: 3,000 kilometers per month, 120 engine hours, no more than 30 minutes idling per trip. But Adrian’s dashboard only showed raw data, such as daily mileage logs, engine time totals, and occasional fuel reports. That wasn’t enough for effective fleet management.

Once, by the time he noticed overuse, the contract had already been breached. Charges were late, clients were frustrated, and the team had no way to prevent small issues from escalating. He needed smarter monitoring. That’s when he started using virtual sensors in Navixy IoT Logic.

Adrian built custom alerts that matched the terms of each contract:

1. Mileage and engine hours:
   For a vehicle with a 3,000 km limit, he set alerts at 80%, 90%, and 100%. So when a truck hit 2,700 km, the system flagged it. The client received a notice, and the driver adjusted routes.
2. Idle time:
   For fuel control, Adrian created an alert when any vehicle idled for more than 30 minutes during a trip. These alerts helped him spot patterns of waste, especially in urban deliveries.
3. Client-specific rules:
   Some contracts had engine hour caps instead of mileage. Others charged for idling. Virtual sensors help to match each rule with a trigger.

In just a few weeks, the business felt the difference:

• The fleet manager switched his processes from reacting after the fact of violation to preventing.
• Clients appreciated proactive alerts, especially those with penalty clauses.
• Reports became aligned with contracts: no extra checks, no backtracking.

Custom alerts helped Adrian’s team prevent violations, improve service, and stay in control, no matter how varied his fleet or clients were.

Usage-based maintenance for smarter fleet servicing

Diego manages maintenance and compliance at a vehicle leasing firm in Colombia. With hundreds of vehicles under active contracts, he struggled to keep maintenance aligned with actual use, not just dates.

Calendar-based reminders were not sufficient. Some vehicles were underused, others overworked. By the time a scheduled service came up, one vehicle had barely moved while another had already exceeded safe mileage limits.

Diego needed maintenance triggers based on real activity. That’s when he configured Navixy IoT Logic to use virtual sensors for usage-based alerts.

He created rules tailored to his fleet's service plans:

• Maintenance alerts by usage:
  For vehicles due every 10,000 km, he set alerts at 9,500 km since the last service.
  For others, alerts were based on engine hours, triggered after 500 hours of use.
• Usage pattern monitoring:
  He flagged vehicles that exceeded 1,000 km per day or operated outside approved time windows. These alerts helped him detect overuse early, before wear and tear escalated.
• Cost-based triggers:
  For contracts billed by distance, Diego set alerts when usage costs exceeded $25,000 per billing cycle, based on per-kilometer rates. This helped him stay within budget and spot unexpected spikes.

The impact on the business:

• Maintenance was based on actual wear, not just time.
• Vehicles were serviced before failures occurred.
• Overuse and misuse were caught early, reducing long-term costs.
• Budget alerts provided clear signals before overspending.

Diego didn’t overhaul the system. He used existing GPS data and added logic where it mattered, configuring virtual sensors once and letting the alerts run automatically. With usage-based triggers, he gained real-time visibility into vehicle performance, reduced downtime, and stayed ahead of contract risks. Every alert came from real data, not guesswork.

Advanced theft prevention for high-risk areas

Raul oversees fleet security for a leasing company in Mexico. His company expanded into new regions and faced a growing challenge: protecting vehicles across hundreds of locations, each with different risk levels. Basic alerts, like a geofence breach or ignition-on event, triggered frequently, but lacked the context to tell him whether something was truly wrong. The team was reacting to events after they happened, not preventing them.

With Navixy IoT Logic, Raul began combining multiple data points to trigger multi-condition alerts by creating virtual sensors that led to real-time action. These sensors helped his team prioritize real threats and respond faster.

1. Unauthorized exit detection

Raul created a rule for vehicles leaving a geofence. He limited speed exceeds 10 km/h and set the alert if the driver ID does not match any of the authorized personnel. When both conditions occurred, the platform immediately flagged the event and presented multiple response options:

• Remotely shut down the engine
• Lock the vehicle door
• Notify the recovery team and customer contact

This combination reduced false alarms and enabled precise, timely intervention, especially in high-theft regions.

2. Movement while parked

In another scenario, the system detected unauthorized movement while the ignition was off. If a vehicle was towed or tampered with, GPS displacement without engine activity triggered an alert. At the same time, the team could respond before the vehicle was removed from the scene. This feature was key in preventing silent theft attempts and unauthorized relocations.

3. Red zone entry as risk behavior

Raul used map-based tools to mark high-risk zones — urban corridors and industrial outskirts with elevated theft rates. Then he created a rule to send alerts only if a vehicle entered a red zone and displayed harsh driving (e.g., speeding or sudden braking). He applied extra sensitivity at night or during off-hours. The alert priority was adjusted based on time and location, reducing noise and increasing situational awareness.

4. Real-time escalation workflows

When any of the above risk conditions were confirmed, Navixy automatically sent instant alerts to Raul’s internal security team, simultaneously notified clients or third-party response teams, and logged each event for compliance, reporting, or insurance documentation.

No manual input was needed, because responses were triggered within seconds of threat detection. This implementation allowed the company to switch its mindset from reaction to prevention:

• Confirmed theft attempts were intercepted early
• False positives dropped by over 60%
• Engine immobilization was used only when threats were verified
• Security response time improved from hours to under 3 minutes

Clients noticed the difference. They weren’t just notified of incidents — they were protected from them.

Predictive maintenance and vehicle health alerts

A regional fleet provider supplies long-term vehicles and equipment (vans, pickups, and heavy machinery) to contractors, logistics firms, and municipal clients in Mexico, Colombia, and Chile. With over 200 assets in the field and clients operating in remote or demanding environments, vehicle uptime is critical to fulfilling service-level agreements and avoiding costly penalties.

Luis leads the company's technical operations. For years, the firm followed standard calendar-based maintenance: oil changes every few months, checkups tied to lease duration, and client calls to report issues. But that approach created blind spots, like vehicles missed critical service windows, breakdowns happened mid-contract, and service teams were always one step behind.

Using virtual sensors and Logic Node in Navixy IoT Logic, he restructured maintenance workflows around actual vehicle conditions.

1. Mileage threshold alerts

Each van in the logistics fleet had a 10,000 km service interval. Luis set alerts to trigger at 9,500 km. So when a unit reached 15,000 km, the system flagged it 500 km in advance. The service team scheduled maintenance without waiting for a breakdown or a client complaint.

2. Engine hours for heavy equipment

Construction clients used diesel-powered excavators and loaders where engine runtime mattered more than distance. For them, Luis set alerts to trigger after 250 engine hours: ideal for equipment that spends more time idling than moving.

3. Contract-based timers

He also added logic-based reminders tied to lease terms, such as insurance renewal due in 30 days, annual inspections for high-value equipment, and pre-return diagnostics before contract closeout. These time-based markers complemented the usage data for complete maintenance planning.

4. Tracking vehicle health using CAN bus data

For heavy machinery like John Deere excavators, Luis configured advanced monitoring using CAN bus and OBD inputs from GPS-enabled devices.

He defined a custom “Vehicle Health” parameter across the fleet, using Logic Nodes to monitor key engine indicators:

• MIL status (Malfunction Indicator Lamp) for active faults
• DTC count for the number of current diagnostic trouble codes
• Coolant temperature for overheating risk
• Engine RPM for over-revving alerts
• Oil pressure and fuel level — if available
• Transmission fault flags

Logic rule example:

can_mil_on == true
|| can_dtc_count > 0
|| coolant_temp > 100
|| engine_rpm > 5000

When any of these were detected, the system marked the asset as at-risk and alerted the maintenance team immediately.

In just 90 days:

• Unscheduled service calls dropped by 35%
• Average downtime per asset decreased by 1.2 days
• The leasing company reported higher client satisfaction on contracts with active vehicle health monitoring
• Early alerts allowed for better coordination with external service providers and parts suppliers

Seamless integration with ERPs and maintenance systems

Navixy can push data automatically to your existing ERP or maintenance platform using its open API or webhook system. This allows your operations team to:

• Sync service logs across platforms
• Trigger job orders in third-party workshop tools
• Generate centralized maintenance reports
• Automate client service reminders via CRM

Benefits for leasing companies:

• Reduce vehicle downtime by catching issues early
• Lower total cost of ownership through smarter servicing
• Protect resale value with clear maintenance history
• Avoid contract penalties due to vehicle failure
• Add value to clients with proactive vehicle care
• Enable SLA compliance and digital traceability

Learn more about IoT Logic and other products in the comprehensive Navixy API documentation.

Your next move: from reactive operations to proactive leadership

Telematics switches the paradigm in the leasing and renting business, shifting from simply providing vehicles to providing business insights. By embracing telematics, leasing companies can protect their assets, exceed client expectations, improve efficiency, and scale sustainably, positioning themselves as innovators and leaders in a highly competitive and fast-changing market.

Want to enhance your daily operations with IoT Logic? Try a free demo session. Schedule it now to get more insights from your routine operations.