Asset Protection: How MyWheels Reduced Damage Costs with Proactive Scoring

Table of Contents

• Company Background
• Problem
• Solution
• Implementation
• Results

Company Background

Founded 30 years ago with just one car for three neighbors, MyWheels is built on a strong foundation of community and trust. This approach upholds today with around 800 local volunteers called “sleutelfiguren” who help maintain and refuel vehicles in their neighborhoods in exchange for platform credits. The Dutch operator has grown into a major mobility provider, combining B2C and B2B fleets with approximately 3,000 cars and 30,000 active monthly users.

MyWheels is also pioneering Vehicle-to-Grid (V2G) technology in partnership with WeDrive Solar, Renault and the city of Utrecht. They already expanded to Eindhoven and looking to further expanding. Through V2G, their shared electric vehicles become an active part of the public energy grid. To make this possible, MyWheels relies on real-time location and battery data from INVERS CloudBoxx, ensuring that energy trading never leaves a vehicle without enough charge for the next user.

Problem

While MyWheels successfully maintained its community-centric approach, scaling to thousands of vehicles inherently increased operational complexity. As any growing car sharing company experiences, more cars on the road simply mean a higher statistical probability of users who treat the vehicles poorly or cause deliberate damage.

Damages are one of the biggest cost drivers in car sharing. When we can keep those costs as low as possible, it allows us to grow faster and expand our fleet.
Claire Sipkema-Oosterholt, COO, MyWheels

At the same time, their existing tech stack struggled to keep up. The system relied on basic remote access with zero offline fallback. Without cellular connection, cars became completely inaccessible. MyWheels also lacked crucial real-time vehicle data, making it nearly impossible to monitor vehicle conditions, gain insights into user behavior, or proactively prevent damages.

Solution

In 2019, MyWheels chose INVERS to provide reliable telematics capable of delivering deep vehicle insights and uninterrupted connectivity.

INVERS CloudBoxx provided the connectivity and vehicle data insights that were previously unavailable to us.
Claire Sipkema-Oosterholt, COO, MyWheels

Over the years, this has evolved into a highly collaborative partnership where INVERS and MyWheels continuously identify operational bottlenecks and develop joint solutions.

For example, MyWheels implemented the Bluetooth (BLE) fallback offered by INVERS to increase vehicle availability and customer satisfaction. When high installation costs emerged as a major blocker for scaling the fleet, they pivoted to an INVERS OBD-based telematics installation. This plug-and-play approach significantly reduced installation times and costs, providing the much-needed flexibility to easily equip cars that have shorter lease contracts.

To address the challenge of careless users, MyWheels utilized INVERS Driving Analysis. For the first time, this provided the operator with data-driven insights into actual user behavior. The INVERS hardware accurately captures critical driving events, including:

• Speeding
• Heavy braking
• Severe bumps
• Harsh cornering

This data, alongside other information, helped MyWheels build CARMA, an intelligent tool that translates telematics data into a unified behavioral risk score for every booking. Rather than just reacting to damages, CARMA analyzes the data to identify specific patterns over time. This enables the Dutch operator to proactively assess how users treat the vehicles and rigorously block individuals who pose a high risk to the fleet.

Implementation

Integrating INVERS Driving Analysis into CARMA was a straightforward process. CloudBoxx captures driving events directly from the vehicle and feeds that data into CARMA, which translates it into a behavioral risk score for every booking. MyWheels then established a clear operational workflow:

1. Iterative Refinement:
   They started with clear signals like speeding, severe bumps, harsh cornering, and braking and continuously refined pattern recognition over time.
2. Manual Verification:
   A human team member reviews every flagged trip, cross-referencing events like bumps with Google Maps to verify context.
3. Fair Enforcement:
   CARMA is not about punishment. The default response is a friendly warning, and in most cases, that conversation alone is enough to change behavior. Only in rare cases, it ends up excluding users from the service.

Results

By using INVERS Driving Analysis data to build CARMA, MyWheels successfully protect their assets against high-risk drivers and careless behavior. The most profound impacts include:

• Lower Damage Costs per Month
  Within a few months of implementing CARMA, MyWheels saw a significant drop in vehicle damage and they now save up to €40,000 per month in repair costs.
• Zero Injury Accidents:
  Transparent feedback combined with reliable telematics fundamentally changed user behavior and restored community accountability. Since the introduction of CARMA, MyWheels has not recorded a single accident resulting in bodily injury.
• Objective Dispute Resolution:
  Detailed driver analysis data gave the operator factual evidence to resolve damage disputes, transforming a subjective process into an objective one.
• Optimized Fleet Uptime:
  The predictive operations model enabled by INVERS has minimized downtime and secured a stronger bottom line, paving the way for continued nationwide growth.

We’re proud to partner with MyWheels and support their asset protection with INVERS Driving Analysis.

If you’re looking for solutions that help you implement a similar scoring system, reach out to us today.