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Levo uses AI to unlock missed charter revenue opportunities
The LevoAI platform uses proprietary learning models and multiple LLMs to deliver faster matching between real-time availability and flight requests.

Levo has launched LevoAI, a generative AI platform designed to match real-time aircraft availability with flyer demand. Built on a proprietary learning model and multiple LLMs, LevoAI enables charter operators and brokers to access new revenue streams from previously overlooked opportunities.

“LevoAI is a game-changer for the charter market,” says Levo CEO Joe Moeggenberg. “Putting AI to work in the charter space is the missing link.”

The platform’s scoring algorithm continuously analyses aircraft availability against a large pool of publicly available flight requests. High-probability matches are flagged instantly for charter sales teams to review and act on.

LevoAI also offers a structured, intuitive interface that consolidates flight request and availability data. Its AI-powered command prompt allows operators and brokers to explore opportunities that meet their needs.

Opportunity notifications are assigned and delivered via push notifications or SMS, allowing fast responses. Brokers can also use the system in reverse, entering requirements to receive AI-scored aircraft matches.

Charter operators and brokers have long struggled with inefficient flight matching, often relying on manual processes, mass emailing and outdated systems. LevoAI replaces these with a data-driven, automated approach that reduces decision times and revenue leakage.

LevoAI is now available to operators and brokers aiming to improve their flight matching capabilities.

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