# Inurba Mobility - Qucit partnership

## Bike sharing system: C.vélo

### Created by the **Syndicat Mixte des Transports en Commun de l'Agglomération Clermontoise** in 2013, Clermont Auvergne Métropole's **C.vélo** program now has **680** bicycles in **57** stations! Since September 2021, the C.vélo system has been managed by **Inurba Mobility**, the leading Spanish operator in Europe for the management of public bike-sharing systems.

## **57**

### stations

## **680**

### bikes

## **800,000+**

### trips

## **16,500**

### rebalancing operations

**2022 is the beginning of the partnership**  
**between Inurba Mobility and Qucit!**

In 2022, the partnership between Inurba Mobility and Qucit begins with more than **16,000** **rebalancing** and **bike collection** operations performed by Inurba Mobility teams on Qucit Bike!  
The year 2022 also saw **28,000** different users renting the **680** bikes available in the **57** stations. That's more than **800,000** journeys made!

## **Solution**

### **An intuitive software based on Artificial Intelligence**

Since January 2022, Inurba Mobility has used the Qucit Bike software stack to improve its operational efficiency. Qucit Bike consists of:

- An intuitive mobile application for rebalancers that optimizes routes and tasks to be performed in real time;

- A dashboard for the Operations Manager that allows them to track key productivity indicators, key system performance metrics and simplify the management of field agents.

## Fabrice Villeger

### **Operations Manager C.vélo system**

"The objective in working with a tool like Qucit Bike was to **increase the availability of our stations** with bikes available on the C.vélo system. This has now been achieved, thanks in particular to an **improvement in our rebalancing operations in the field.**

Qucit Bike is a tool that was **easily taken on board** by the operators  in the field, allowing them to combine their knowledge of the terrain with the automatic recommendations of the application. As the tool is very intuitive, **training during the implementation of the software is very quick**, which allows for use in the field within a few days.

The tool allows us, in addition to predictive rebalancing, to **collect our bikes in the field** and bring them back to the warehouse, efficiently with **fewer kilometres driven** by our teams."