Over the last few years, more businesses and fleet organizations have begun to rely on the use of telematics that can benefit operational efficiencies and the bottom line. This article will explain the difference between telematics and embedded telematics, how they are used, and how these benefits serve many different audiences, from business users to organizational stakeholders.
Many companies in just about all industries have a fleet of vehicles that are used for business purposes. These vehicles are often viewed as a cost center for the business, but the use of telematics is helping these businesses gain better control over various costs involved with operating the fleet.
What is telematics?
A wealth of asset data is now available because of fleet telematics. Telematics collects information about asset usage, driver behavior, fuel consumption, and diagnostic trouble codes (DTCs) directly from an asset using GPS tracking and on-board diagnostic reading capabilities. Fleets can use telematics data to improve overall utilization for higher ROI, find the root of expensive issues and behaviors, and strengthen maintenance procedures. The old way of using this telematics data is a plug-in device like a dongle, OBDII, Blackbox etc., which is clumsy, expensive and in-effective.
Pay attention – not all providers are the same
The market is flooded with TSPs selling their hardware and proclaiming to deliver upon these expectations, but the reality is that fleet operators are simply not experiencing the ROI, and are facing an epidemic of inaccurate data, unreliable analytics and poorly designed user interfaces. The data cannot be consistently or efficiently ingested, aggregated or normalised to make sense of a fleets risk performance.
While there are many telematics solutions available today, it’s important to pay close attention to the holistic solution. The data from different vehicle manufacturers is many times different, so it’s important to ensure you’re working with a data provider that has a cloud platform capable of standardizing all data so all parties involved (fleet managers, maintenance, insurers, etc.) can make apples-to-apples comparisons and analysis of all vehicle data. Not all telematics and data providers have this capability.
Embedded telematics platform for TSPs for fleets
The purpose of the embedded telematics platform is to provide a single point of access to all TSPs, fleet managers and drivers. It offers a new level of visibility into the operation of the vehicle, so it can be used to improve efficiency and reduce costs.
Technology advancements have freed telematics solution providers from the constraints of their proprietary hardware and allowed them to serve clients using any third-party device, creating a device-agnostic solution. An open telematics platform uses the numerous data sets produced by a vehicle to make data transparent, enable simple access, and offer creative solutions.
Fleets today are working with partners who can standardize embedded telematics data from multiple OEMs and organize into a single format using FMS standards. Integrating third-party data is only possible through an open model system where data is shared in a variety of ways, laying the foundation for achieving the best results for fleet operations.
The only way for fleets to gain insight from their connected vehicles is a cloud-based platform which can integrate with any TSPs, understand the dynamic behaviors of the entire fleet.
Fleets can cut expenses by using embedded telematics, which also increases asset ROI. Two of the biggest costs for a fleet are maintenance and fuel; information gathered from telematics, including asset location, helps fleets better control these costs by reducing idling, optimizing routes, and identifying mechanical problems early for quick resolution. But early issue detection does more than just enhance asset maintenance. Furthermore, it increases field and vehicular safety. Additionally, fleets can enhance driver coaching and training to further develop a culture of fleet safety and lower driver behavior-related service costs because telematics records unsafe driving behaviors like speeding and abrupt braking.
The role of embedded telematics in reducing maintenance costs
Embedded fleet telematics tools are a great resource for managing and analyzing any fleet because they provide a wealth of vehicle data, including details on the condition of the vehicles. Receiving vehicle information directly from OEMs is a great way to enhance the fleet maintenance strategy and track fleet management KPIs.
Fleet managers can receive real-time connected vehicle data in a cloud-based platform to automate maintenance workflows and promptly address vehicle issues as they arise by combining embedded telematics data with integrated fleet management software.
In order to prevent vehicle downtime and boost fleet efficiency, managers need to have the most visibility possible into the status of their vehicles, their maintenance schedules, and the results of inspections.
Fleet technology closes information gaps and gives managers up-to-the-minute information on all assets. A cloud-based platform can give real-time information about the condition of each vehicle so they can stay informed of any problems and decide what fleet maintenance is required to prevent downtime.
Preventive maintenance (PM) schedules are typically based on mileage, but manually tracking odometer readings is labor-intensive and frequently prone to error. Paper-based systems do not give fleet managers accurate, real-time updates to guarantee that PM tasks are completed on schedule.
By utilizing cloud-based platform that can integrate with your TSPs, odometer readings can be automatically uploaded into fleet management software, ensuring managers have a structured way to manage fleet maintenance and never fall behind on PM tasks.
Generative AI plays a pivotal role in fleet management by analyzing vast amounts of information from embedded telematics giving fleet managers valuable insights to improve fleet efficiency, reduce costs, and optimize performance.
Improving driver safety with embedded telematics
Data from a cloud-based platform and artificial intelligence can also be used to improve driver safety. Generative AI can monitor real-time driver actions, such as hard braking, excessive speeding, intense acceleration, aggressive lane changes, harsh turning, seat belt usage, and harsh cornering driver actions, such as hard braking, excessive speeding, intense acceleration, aggressive lane changes, harsh turning, seat belt usage, and harsh cornering. The most interesting part is that AI continuously learns from real-time data, enhancing its decision-making capabilities even further and adapting to diverse driving conditions. Generative AI plays a pivotal role in fleet management by analyzing vast amounts of information from embedded telematics giving fleet managers valuable insights to identify risk, save time, and create value to keep drivers safe and to drive competitive value in the marketplace.
Generative AI can monitor real-time driver actions, such as hard braking, excessive speeding, intense acceleration, aggressive lane changes, harsh turning, seat belt usage, and harsh cornerin driver actions, such as hard braking, excessive speeding, intense acceleration, aggressive lane changes, harsh turning, seat belt usage, and harsh cornering.
Reducing fuel cost with embedded telematics
With the rise of connected vehicles, fleet managers are faced with a wealth of data, but simply collecting this data is not enough. Fleet managers need to accurately analyze it to determine the total cost of ownership (TCO) for their vehicles. Accurate data is crucial in calculating TCO and optimizing it, but analyzing and interpreting data can be challenging. Therefore, fleet managers are increasingly turning to solution providers to help them accurately calculate TCO and identify areas for optimization. And a central, cloud-based platform is the most effective solution to manage operations and securely transfer data between systems.
Monitoring fuel costs and consumption is crucial for obtaining an accurate total cost of ownership (TCO) for most fleets since fuel typically forms the largest expense, close to 60% of all operating costs for a fleet.
AI-powered algorithms analyze and monitor fuel consumption patterns and identify inefficient driving behaviors, such as excessive idling, harsh acceleration, or harsh braking.
Generative AI gives real-time actionable insights on driver behavior that can help optimize fuel efficiency and reduce operating costs. Fleet Managers can optimize fuel usage, thereby reducing costs, minimizing environmental impact, and optimizing Total Cost of Ownership (TCO)
While telematics has been increasingly used over the last few years, it’s important to understand how the new generative AI and embedded telematics cloud platform can benefit a business so that the resulting richer data can be maximized for the right ROI and organizational benefits.
