Wialon launches ChatGPT app for fleet managers platform

Wialon has introduced a new ChatGPT application designed to provide fleet managers and dispatchers with natural-language access to telematics data. By allowing users to query fleet status, fuel consumption, and mileage through a conversational interface, the tool aims to eliminate the need for complex dashboard navigation. This development is significant for the sector as it addresses the challenge of data retrieval across Wialon’s global network of over 4 million connected vehicles.

Wialon, a telematics platform developed by Gurtam, has launched a ChatGPT app now available in the ChatGPT App Market to streamline data access for fleet operators. The application enables dispatchers, managers, and executives to use natural-language queries to retrieve structured information on fleet status, trips, mileage, and fuel consumption. By moving away from traditional reports and filters, the tool allows users to ask direct questions, such as identifying vehicles currently at a depot or requesting summaries of fuel-efficiency trends. Aliaksandr Kuushynau, Head of Wialon, noted that the app is designed to help users find specific information quickly without needing to know exactly where that data is stored within the system.

The launch comes as Wialon manages a massive scale of operations, connecting more than 4 million vehicles in over 160 countries through a network of 2,700 telematics service providers. The platform’s software suite, which includes cloud-native and on-premise options, supports more than 4,100 GPS device models and 39 languages. This new conversational AI interface is part of a broader technological push that includes Lona, an AI assistant used for technical and financial inquiries. These tools are intended to support a wide range of clients, from small local businesses to major logistics firms operating fleets of more than 1,000 heavy goods vehicles.

This integration of generative AI into the fleet management market highlights a trend toward reducing the technical barriers associated with complex back-office systems. In high-pressure environments like transport and logistics, a question-and-answer interface can significantly reduce the time spent on staff training and manual data searching. However, the industry's adoption of such tools will depend heavily on the accuracy and reliability of the data provided, especially for critical tasks involving compliance and real-time vehicle utilization. Wialon intends for the app to be used for daily operational tasks, such as morning fleet status checks and investigating fuel anomalies, providing a more intuitive way to handle the large volumes of data inherent in modern telematics.