How AI can upgrade your fleet performance

Logistics generates a lot of data. Every movement, every delivery, every mile traveled contributes to a vast store of information that has the potential to revolutionize how businesses manage their vehicle fleets. However, it is useful only when it is used and analyzed effectively.

For a long time, most digital fleet management solutions could only provide basic insights into location, mileage or fuel consumption using this data. Because it relied on manual data transfer to other platforms and limited analysis tools. Leaps in artificial intelligence (AI) have increased the capabilities available.

Insights from AI-driven algorithms can reveal hidden patterns in fleet behavior, driver performance and maintenance requirements that manual methods might overlook. This manifests as cost savings through more efficient resource allocation and improved operational productivity.

Geotab, a global leader in connected transportation solutions, has introduced an AI model as part of a beta project called ‘Project G’. The model extracts and analyzes user data from the Data Connector such as mileage, usage, idling and fuel economy to provide valuable insights to participants.

Project G is connected to the Geotab Data Connector, an advanced analytics tool that extracts and analyzes user data from MyGeotab and turns it into actionable insights. Users can then access these insights through Project G’s easy-to-use chat interface.

Ask the AI ​​a question about the company’s fleet and it will respond with information about anything from vehicle performance and idle time to potential cost savings. No data or specific skills – such as the ability to write SQL queries – are required to use it

Project G significantly reduces time-to-insight, enabling users to quickly make informed decisions on their fleet operations and proactively resolve issues before they escalate. Insights can be generated using data from January 2021 to the day before the question is asked.

In addition to highlighting potential avenues for cost reduction and enhanced productivity, by identifying inefficiencies in Project G fuel use and overall performance, users can take precise measures to help reduce their environmental footprint and ensure compliance with evolving sustainability regulations.

While still in its early stages, Project G is showing promising results. For example, a fleet manager can ask a digital assistant how much fuel their fleet wasted last month and get an answer in seconds: a ranking of the right schedules for fast decision-making.

The integration of generative AI models into Geotab’s platform increases the accuracy of the insights provided, meaning businesses can adjust their strategies with higher confidence. Geotab processes more than 55 billion anonymized and aggregated data points daily on more than 3.7 million connected vehicles in 165 countries. That wealth of information gives models plenty of data to learn from and provides real-time insights. The company has one of the largest data science teams in the industry dedicated to unlocking the most value from logistics data with AI innovation.

Project G AI models are built on privacy-first design principles. This means that privacy considerations and data protection have been central to their development since the beginning. All customer telematics data is maintained within Geotab’s environment; Only questions asked by decision makers are sent to a private Azure OpenAI instance. This approach not only protects personal data but also sets a high standard for responsible AI deployment in an era of increasing privacy concerns.

AI-powered fleet management solutions like Project G are particularly valuable for countries in the APAC region. With diverse landscapes that include challenging terrain or heavy traffic congestion, AI can enable fleet managers to choose the best routes to reduce delays, reduce fuel consumption and improve driver safety.

The region also has rapid economic growth and an expanding e-commerce sector. That being said, according to the Global Fleet Survey 2022, Asia Pacific fleets are expected to save 5.6 percent on their costs. AI-driven insights can support the growing demand for faster and more accurate delivery while cutting costs, helping businesses gain a competitive edge over their more established counterparts.

With over 20 years of relevant experience, David manages the South East Asian market for the company. David has 11 years of experience in the telematics industry in various regions including Asia, Middle East and Australia.

David Brown, AVP of Sales, APAC at Geotab, said: “One of the most common concerns for telematics users is what do I do with all the data? Do I need to hire someone to understand the data and make operational changes for the better of the business? How do I interpret all the reports and bring them together?

“With more than 3.7 million connected vehicles globally and processing 55 billion data points every day, we at Geotab are at the forefront of this transformative technology. We need to make this data easily accessible, easy to understand and easy to use for decision making.

“Project G is a truly revolutionary way to understand your fleet’s performance, quickly, easily and accurately, allowing business owners and fleet operators to make accurate and sound decisions for their business fleet.

“With the unique capabilities of Geotab’s Project G, (users) will be able to redefine how they interact with their data through AI. Just ask them a specific question on what they need to know about their fleet, and within seconds, (they) will have the answers. It is truly a game changer in the industry. “

To ensure your business is among the first to use the valuable insights available with Project G, add your organization to the waiting list today.

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