Logistics generates a lot of data. Every movement, every delivery, every mile traveled contributes to a vast repository of information that has the potential to revolutionize how businesses manage their vehicle fleets. However, it only becomes useful when harnessed 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. This is because they were reliant on manual data transfers to other platforms and limited analytics tools.  leaps have been made in artificial intelligence (AI) which have stepped up the capabilities available.

Insights from AI-powered algorithms can unveil the hidden patterns of fleet behaviour, driver performance, and maintenance requirements that manual methods might overlook. These manifest as cost savings through more efficient resource allocation and improved operational productivity.

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

Project G is linked 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 questions about the company’s fleet and it will respond with information about anything from vehicle performance and idling times to potential cost savings. No data or specific expertise – like the ability to write SQL queries – is required to use it

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

On top of highlighting potential avenues for cost reduction and enhanced productivity, Project G can also  After identifying inefficiencies in fuel consumption, and overall operational practices, users can take precise measures to help reduce their environmental footprint and ensure compliance with evolving sustainability regulations.

While in its early stages, Project G is showing promising results. For instance, a fleet manager can ask the digital assistant how much fuel their fleet wasted in the past month and get the answer in seconds: the sort of timescales perfect for fast decision-making.

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

The Project G AI models are built on privacy-by-design principles. This means that privacy considerations and data protection have been central to their development from the outset. All customer telematics data are kept within Geotab’s environment; only the questions posed by decision-makers are sent to a private Azure OpenAI instance. This approach not only safeguards individual data but also establishes a higher standard for responsible AI deployment in an era where privacy concerns are growing.

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

The area is also witnessing 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 deliver 5.6 percent savings on their expenditure. AI-powered insights can support the growing demand for fast and accurate deliveries 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 across a variety of regions including Asia, the 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 employ someone to understand the data and to make operational changes for the better in the business? How do I make sense of all the reports and bring them together?

“With over 3.7 million vehicles connected globally and processing of over 55 billion data points daily, 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 to make decisions.

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

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

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