How technology allows the rise of car sharing?

How technology allows the rise of car sharing?

But how do you ensure consumers can find available car-sharing vehicles where they want them? How do you know when a vehicle needs to be cleaned? Or, how to define the geographical areas of interest for car-sharing?

A data-driven business model

Technology is the real “cogs” of flexible carsharing. It enables providers to fine-tune their strategy and their resources according to the real needs of users, an essential factor in offering a sustainable and efficient car-sharing service.

And that starts with defining an area of ​​operation, within which vehicles can be rented and dropped off. To define areas with high rental potential, providers are relying on technology, data and artificial intelligence. From the socio-demographic profile of the area, to its percentage of motorists, including the number of points of interest (restaurants, museums, etc.) and businesses established, the criteria are multiple.

Once areas are chosen, demand prediction is also essential to ensure that vehicles are in neighborhoods where they will be quickly re-rented. When this is not the case, the algorithms automatically adjust the rental rate to make the area where the vehicle is parked more attractive and thus encourage the rental of the car. The goal here is to prevent a technician from having to travel to relocate the vehicle.

Over the long term, the technology continuously analyzes customer usage and the attractiveness of areas in order to better identify needs and adapt the service to real needs.

Technology at the service of the customer experience

Another decisive factor contributing to the success of car sharing is the customer experience. And the latter begins with the reservation and handling of a vehicle. If free-floating car-sharing has succeeded in convincing many enthusiasts around the world, it is above all thanks to its speed and simplicity. The software developed by the suppliers makes it possible in just a few clicks to choose a vehicle and the rental period from a smartphone, to fill in all the administrative documents and to unlock the vehicle. This instantaneous service is one of the major advantages, compared to other forms of shared automobile mobility.

Once the vehicle is in hand, the continuity of the customer experience is strongly linked to its operating condition and its cleanliness. Car-sharing fleets must be in good condition and clean despite the many rentals. Again, it is technology, and machine learning algorithms more specifically, that allow suppliers to have complete visibility into the condition of vehicles and adopt predictive maintenance measures. Predictive maintenance involves algorithms that take and combine data on usage, time of last cleaning, vehicle model and – as the most important element – customer feedback in the vehicle cleanliness app. in a machine learning process.

What new advances to expect?

Technology, and in particular artificial intelligence, have emerged as key success factors in the car-sharing sector, in addition to an attractive fleet. Although they are almost invisible to the eye of the consumer, they are the cogs that enable quality service that is adapted to the needs of different cities and consumers.

By making the evolution of mobility needs more “predictable”, technology allows suppliers to constantly adapt to meet the challenges of the environmental crisis and the lowering of the motorization rate in our cities.

Today there is still great potential for improving supply management. It is important to find solutions to identify even better what consumers need, when and where exactly. This makes it possible to continuously adapt the offer flexibly to these parameters, and thus to individual mobility needs.

The logic of relocation is already very successful, but the challenge here is to further improve the availability of vehicles in places in high demand in order to ensure rental. In this area, artificial intelligence and its reliable calculations will play an even greater role in the future and take sustainable mobility to the next level.

The possibility of collecting, thanks to car sharing, a great deal of data on mobility needs constitutes important information for building the sustainable mobility of tomorrow.

First, because it makes it possible to improve the daily life of users in order, for example, to meet the growing challenges of electric mobility by offering motorists directly from their car-sharing application information on the charging infrastructures available on their journeys thanks to better digital cartography.

But also because this data allows car-sharing operators to predict when, how and who needs a vehicle – an essential prerequisite for the future development of autonomous and efficient car-sharing.

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