Share Now bets on artificial intelligence as the present and future of carsharing

Since its inception, Share Now has been firmly committed to innovation. Specifically, the company has developed over the years its own technological software, designed entirely by itself. Thanks to its commitment to artificial intelligence (AI), the firm is capable of predicting demand to optimize the management of its vehicle fleet, as well as guarantee the highest quality standards.

Artificial intelligence is a central part of Share Now's corporate strategy. For this reason, the company continues to develop intelligent software solutions and its own algorithms, which can identify user needs even better, adapting the offer flexibly to these parameters. Share Now wants to continue to improve vehicle availability in high-demand locations. In these areas, AI with its reliable calculations will play an even greater role and take sustainable mobility to the next level.

The company has 3.3 million daily interactions on the mobile application globally. The platform guarantees the highest level of security throughout the customer's journey through it, from authentication to payment. The processes meet the highest industry warranty standards.

The four great challenges of carsharing

Share Now apuesta por la inteligencia artificial como presente y futuro del carsharing

In these years of implementation in our country, Share Now has used technology and artificial intelligence to put aside the four biggest challenges of car sharing: the identification of favorable areas for carsharing, availability of vehicles in the exact place where consumers need car cleaning and service expansion to meet demand.

Firstly, the company's technology makes it possible to identify areas of demand, since the AI ​​uses sociodemographic data and leisure opportunities to determine in which regions the use of shared vehicles makes sense.

Similarly, it is possible to guarantee the availability of vehicles at the right place and time. The AI ​​calculates in advance, when and where cars are needed. A wide variety of data is used to determine the prediction, such as: when a concert ends or bad weather conditions.

Optimization optimization of cleaning and maintenance of vehicles also improves with technology, since it is possible to know the cleaning or maintenance needs of vehicles.

Finally, the company works on the further development of the offer based on demand. In order to continually develop the Share Now offering and tailor it to customer needs, data-driven decisions are made on an ongoing basis.

Slavko Bevanda, CPO and CTO of Share Now explains:

“Artificial intelligence is increasingly important to be able to efficiently manage vehicle fleets and thus effectively operate carsharing with sustainable mobility objectives. Therefore, good software is essential to the success of our company and our purpose of making cities more efficient. At SHARE NOW we are very pleased to say that both our application development and all of our backend services are produced in-house.”

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