Vehicle Fleet Management & Optimization

Managing yellow goods can be the most critical part of your operations.

The problem

Industrial and construction businesses depend on safe and reliable yellow goods like bulldozers, forklifts, turret trucks and front-end loaders for their success.

Under-utilization and downtime means lost productivity or project schedule delays, so it’s critical to ensure that these resources are always sweating. The problems is, when they’re out in the field and always in motion, how can you keep a record of usage, utilization, and breakdowns? The answer: Rayven’s AI + IoT Fleet Management, Vehicle Tracking & Optimization solution.

Enabling smarter, more efficient fleet management.

The solution

For our client, a materials handling rental company, the objectives for its IoT-enabled fleet was to improve control over the location and utilization of assets, and ensure compliance to rental contracts.

Defining what data to collect is critical
In order to create a solution to improve the company’s control over vehicle asset usage, we identified the key data to collect. Our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution needed to include:

  1. Real-time tracking of assets
  2. Over 30 data points from CANbus
  3. Rental information, including: rental dates, engine time allowance, geofences, and leasing charges
  4. Accelerometer data
  5. Weather information

Initial goals of the solution
The first goal of Rayven’s AI + IoT Fleet Management, Vehicle Tracking & Optimization solution was to integrate the various data sources and to set up a hierarchical structure that would allow each fleet manager to see the information they require in a custom, white-labelled dashboard. This would need to include:

  1. Monitoring of real-time data received from the CANbus and accelerometer via web-based and mobile solutions
  2. Ensure device management monitoring was implemented
  3. The ability to define business logic to meet the fleet managers’ specific objectives
  4. Notifications via email or SMS messages when vehicle behavior was not in accordance with a customer’s contract
  5. Collection of data for predictive analytics
  6. Provision of real-time vehicle asset location
  7. Testing of the application to ensure that all of the client goals were met

 

 

Before making the solution live, we tested four critical aspects of our AI + IoT Fleet Management solution:

Security
The Rayven AI + IoT platform is built with security as a top priority and our proprietary security architecture ensures that data is secure at all points of the environment.

The solution includes data encryption in transit from device-to-cloud, as well as device authentication; security (Bearer) tokens; SSL, AES and RSA encryption; as well as additional device security checks done via automated polling.

Connectivity
As the devices are expected to work in highly-remote areas, the solution was designed to use low-band LoRa devices, which transmitted the data directly to our servers using a secure connection. To maximize battery life, data is only transmitted when a vehicle engine is on.

To ensure the system is always working – even when data isn’t being sent – a heartbeat pattern was implemented and a protocol put in place so that each device sends a device-to-cloud messages at least once every 24 hours.

Data integrity
Once data began to flow, the solution was tested to ensure reliable streaming connectivity from the devices and to confirm that notifications were raised when devices failed to communicate. In addition, notification thresholds were confirmed by fleet managers.

Industrial data science
The objective of exploratory data analysis was to observe trends in the data and compare them between different locations:

  1.  Compare performance utilization between vehicle assets and their contract
  2.  Forecast which vehicle assets would be under- or over-utilized
  3.  Forecast which vehicle assets would exceed their plan allowance

What’s next?

We are continuing to collect data and to work on improving forecasting accuracy. In addition, there are plans to roll-out hundreds of additional new fleets, all featuring Rayven’s IoT Fleet Management, Vehicle Tracking & Optimization solution.

Discover more about the Rayven AI + IoT platform our solutions are built on.

Data sources used to deliver our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution.

New and existing data was used to create the custom applications and business insights that come from our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution.

Data sources used to deliver our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution.
CANbus
Accelerometer sensor
Weather data
ERP
Battery heartbeat
Human-entered data

Key features of our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution.

All of these features were included to meet our customer's specific business objectives, but our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution can be simply customized to fit your precise needs.

Real-time fleet performance insights

Monitor the location and utilization of every asset in your fleet, by customer, brand, or contract continuously and in real-time.

Alerts and notifications

Receive alerts and notifications by SMS or email whenever an asset moves from a geofenced area, or exceeds a performance or utilization threshold.

Vehicle asset utilization

Monitor the utilization of all of your assets to catch underutilization and downtime before it becomes a problem.

Device management monitoring

Telemetry device monitoring and management is often overlooked – ensure that your telemetry is properly functioning, with good battery life and has solid signal strength.

Incident and issue management

Be made aware of vehicle issues when they occur so that you can get equipment back to work faster.

Predictive maintenance

Combine historical maintenance records with telemetry data to create predictive maintenance models for your fleet.

Enabling smarter, more efficient fleet management.

Business outcomes from our AI + IoT Fleet Management, Vehicle Tracking & Optimization solution.

Increase revenue

With increased visibility of downtime and underutilization of your assets, you can make certain that assets are not idle.

Reduce overall costs

Plan for maintenance based on activity to reduce the costs of unplanned service call-outs or penalties for missed deadlines.

Better customer service

Your customers will enjoy better service when you can tell them how the asset is performing and arrange for repairs and maintenance proactively.

Extend asset lifetime

Proactive maintenance of your assets based on usage monitoring will help them to last longer.

Improved asset management

Idle time, breakdowns, and misuse can all be better managed when you have continuous oversight of asset usage.

Greater predictability

Knowing where your assets are and how they are performing helps create greater predictability and reduces risk.

Did you know?

Custom

Pricing & plans

Simple, fair pricing that scales with your business model.

Unlimited

Integrations

Rayven integrates with any asset, device or system.

4 Weeks

Solution live

Create custom solutions in weeks not months.

2 Weeks

Demonstrate ROI

Discover opportunities for business improvement.

See Rayven in action

One of our IoT specialists will set-up a live one-on-one demonstration or answer any questions you might have.

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