The problem of configuring model variability is widespread in many different domains. Renault, a leading french automobile manufacturer, has developed its technology internally to model vehicle diversity. This technology relies on the approach known as knowledge compilation. Since its inception, continuous progress has been made in the tool while monitoring the latest developments from the software field and academia. However, the growing number of vehicle models brings potential risks and higher requirements for the tool. This paper presents a short reminder of Renault's technology principles and the improvements we intend to achieve by analyzing and leveraging notable data features of Renault problem instances. In particular, the aim is to exploit symmetry properties.