Helbiz Incorporates ChatGPT, OpenAI Technology

Helbiz (NASDAQ: HLBZ), a leading global provider of electric shared micro-mobility solutions, announced the incorporation of OpenAI's advanced technology, ChatGPT, into multiple departments of the company. This integration marks the initial phase of a comprehensive approach to incorporating artificial intelligence, as Helbiz remains steadfast in its commitment to staying at the forefront of technological progression. The integration of OpenAI technology aims to drastically improve the first touch communication, from users as well as frontline operational staff, and automate the majority of standard tickets with personalized and human-like handling, driving increases in customer satisfaction and operational efficiencies for an overall improved service.

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Helbiz is a global leader in micro-mobility services. Launched in 2015 and headquartered in New York City, the company offers a diverse fleet of vehicles including e-scooters, e-bicycles and e-mopeds all on one convenient, user-friendly platform with over 65 licenses in cities around the world. Helbiz utilizes a customized, proprietary fleet management technology, artificial intelligence and environmental mapping to optimize operations and business sustainability. For additional information, please visit www.helbiz.com. (Graphic: Business Wire)

ChatGPT, a state-of-the-art language model that is trained on a diverse range of internet text, allows for a better understanding of natural language and context, which will enable Helbiz to personalize its responses to customers and provide more relevant and accurate information in real time. With ChatGPT, Helbiz's customer service and relations department will be able to handle more interactions with increased efficiency, reducing operational costs while increasing customer satisfaction. By leveraging the power of ChatGPT, Helbiz aims to identify and summarize patterns of issues and directly inform the relevant parties internally to more quickly address any potential areas needing attention from operational, administration or software teams.