Autofleet, an optimization platform for fleets and transportation providers, has announced the launch of Autofleet Nova. This is the industry's first fleet-specific large language model (LLM) powered by advanced AI, which helps fleet operators gain comprehensive insights across their operations using plain language.

Nova is a significant advancement for the fleet industry, as it harnesses the power of artificial intelligence and natural language processing to access unprecedented depth of data and insights that were previously unattainable. Fleet professionals can use Nova to get comprehensive answers without needing complex queries and coding by a team of analysts and developers.

Nova has been specifically created to work on fleet domain data across various fleet data sources, such as demand data (trips and reservations), supply data (vehicle telematics), and infrastructure data (parking, charging/fueling, workshops, etc.). This enables fleet operators to use plain language queries to gain previously inaccessible insights, identify optimization opportunities, analyze issues, and take action.

According to Kobi Eisenberg, CEO and Co-founder of Autofleet, "Nova will transform how fleet businesses operate by democratizing access to data and providing non-technical business and operational stakeholders with the tools to make data-driven decisions. Nova’s ability to integrate data from any source and generate new contextual insights bridges the gap between different roles within the business, and empowers fleet operators to make smarter, more informed decisions and take immediate actions."

Key features of Autofleet Nova include:

• Comprehensive: Integrated to any fleet data source across reservations, telematics, CRM, HR, and more, giving an unprecedented, unified view of operations.

• Context Aware: Combines previously siloed, disparate data sources to generate new fleet-specific insights, while allowing users to ask follow-up questions contextually.

• Quick to Rollout: Out-of-the-box plugins enable rapid integration with most major databases, including Oracle, SQL Server, PostgreSQL, Snowflake, and MongoDB.

• Enterprise Grade: Supports data segregation for roles and permissions, with industry-leading security and blazing fast performance.