Geotab’s ‘Project G’: How AI can upgrade your fleet performance

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

For a long time, most digital fleet management solutions were only able to provide basic insights about location, mileage or fuel consumption using this data. This is because they depend on manual data transfer to other platforms and limited analytical tools. Great leaps have been made in the field of artificial intelligence (AI), which enhances the available capabilities.

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

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

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

Ask AI questions about the company’s fleet, and it will answer with information on everything from vehicle performance, idling time to cost savings. No data or specific expertise – like the ability to write SQL queries – is required to use it

Project G dramatically reduces the time it takes to dig into insights, allowing users to quickly make informed decisions about fleet operations and proactively address issues before they escalate. You can generate insights using data from January 2021 up to the day before the question was asked.

In addition to highlighting potential solutions to reduce costs and improve productivity, Project G can also After identifying inefficiencies in fuel consumption and overall operating practices, users can can take the right measures to help reduce its impact on the environment and ensure compliance with evolving sustainability regulations.

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 has wasted in the past month and get an answer in seconds: the perfect kind of time to come up with. quick decision.

The integration of generic AI models into Geotab’s platform enhances the accuracy of the insights provided, meaning businesses can refine their strategies with a high degree of confidence. Geotab processes more than 55 billion aggregated and anonymized data points every day across more than 3.7 million connected vehicles in 165 countries. That abundance of information gives models a huge amount of data to learn from and provides real-time insights. The company also boasts one of the largest data science teams in the industry dedicated to extracting the most value from logistics data with AI innovation.

Project G’s AI models are built around privacy principles by design. This means that privacy and data protection considerations have been central to their development from the very beginning. All customer telecommunications data is kept in Geotab’s environment; only questions posed by decision makers are sent to a private Azure OpenAI instance. This approach not only protects personal data, but also sets a higher standard for responsible AI implementation in an era where privacy concerns are on the rise.

AI-powered fleet management solutions like Project G are especially valuable to countries in the APAC region. With diverse landscapes including challenging terrains or heavy traffic congestion, AI can enable fleet managers to choose the best route to minimize delays, reduce fuel consumption and improve driver safety.

The region is also witnessing rapid economic growth and an expanding e-commerce sector. With that said, according to the 2022 Global Fleet Survey, fleets in Asia Pacific are expected to see 5.6% savings in spending. AI-powered insights can support the growing need for fast and accurate deliveries while cutting costs, giving businesses a competitive edge over their counterparts older.

With over 20 years of related experience, David manages the Southeast Asian market for the company. David has 11 years of experience in the telecommunications industry in multiple regions including Asia, the Middle East and Australia.

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

“With more than 3.7 million connected vehicles globally and processing more than 55 billion data points daily, we Geotab are at the forefront of this transformative technology. We need to make this data easy to access, understand and use to make decisions.

“Project G is a truly revolutionary way to understand your fleet performance quickly, easily and accurately, enabling business owners and fleet operators to make informed decisions and right for the fleet in their business.

“With the unique capabilities of Geotab’s Project G, [user] will be able to redefine how they interact with their data through AI. Just ask a specific question about what they need to know about their fleet and in seconds, [they] get the answer. This is truly a game changer in the industry.”

To make sure your business is among the first to tap into the valuable insights available with Project G, add your organization to the waitlist today.