Alphabet AI Assistant nears 10,000 fleet management queries across Europe

Fleet and leasing specialist Alphabet (GB) has revealed new insights into how fleet managers are using its AI Assistant, with almost 10,000 questions submitted during the first 18 months since the tool was launched.

The AI-powered assistant, which forms part of Alphabet’s Fleet Reporting platform, went live in October 2024, with the first full month of customer usage recorded in November 2024. Now available across 12 Alphabet markets, including the UK, Spain and Germany, the assistant supports users in nine European languages and is designed to help fleet managers access reporting and operational insights more efficiently.

The data provides a snapshot of how AI is increasingly being adopted by fleet professionals, with contract management, mileage analysis and fleet composition emerging as the most common areas of enquiry.

The first question asked in English, on 25 November 2024, was: “Which contracts will end in the next six months?” That remains one of the most frequently used pre-scripted prompts available within the tool.

Other popular questions include “Give me an overview of powertrains in my fleet?”, “How many petrol vehicles are in my fleet?” and “How many contracts end in Q1 2026?”

According to Alphabet, the three most common categories of customer queries are Contract Information, Mileage & Usage, and Fleet Overview.

While most users ask only one or two questions during a session, the company noted there are exceptions, including one UK customer who submitted 65 questions in a single session. The AI Assistant delivers responses in less than 10 seconds on average, meeting the performance targets set during development by Alphabet’s parent company, BMW Group.

“Over time, as their familiarity and trust in the tool increases, their usage evolves and they begin to ask more complex and business-oriented questions, including those related to fleet performance and optimisation.

“This progression indicates a shift from basic usage towards leveraging the AI Assistant as a tool to support decision-making and business problem-solving.”

The company said the AI Assistant has undergone continuous enhancements during the past 18 months, informed by customer feedback, usage patterns and the types of questions being asked.

Among the improvements are refinements to the underlying product and supporting business processes, including the addition of market-specific terminology. In the UK, for example, recognising terms such as “MoT” has helped improve the user experience and the accuracy of responses.

The findings reflect the growing role of AI in fleet management, with organisations increasingly using conversational tools not only to retrieve information more quickly but also to support strategic fleet optimisation and operational decision-making.