Customer Company Size
Large Corporate
Region
- Europe
Country
- France
Product
- CARTO platform
- CARTO’s Professional Services
Tech Stack
- Geospatial data analysis
- Predictive analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Brand Awareness
Technology Category
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Automotive
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Predictive Quality Analytics
Services
- Data Science Services
- System Integration
About The Customer
Over 120 years after its founding, multinational automobile manufacturer Renault remains steadfast as one of the largest car companies in the world. Headquartered in Boulogne-Billancourt, just outside of Paris, Renault’s footprint, through various internal departments, partnerships, and subsidiaries, transcends its French roots. The company’s distinct brands include Renault, Dacia, RSM (Renault Samsung Motors), Alpine, and LADA. They have subsidiaries operating in Argentina, Turkey, Spain, Brazil, India, Mexico, Russia, and many more. In 1999, Renault and Nissan created the Renault-Nissan alliance, a first-of-its-kind partnership, through which, overtime, Renault has come to hold 43.3% ownership of Nissan. That alliance was joined in 2016 by Mitsubishi. Truly a global force, in 2017 the Renault-Nissan-Mitsubishi Alliance sold 10,608,366 vehicles worldwide. Renault has over 180,000 employees in 37 different countries. And as a company, they have made recent commitments and efforts towards advancing technology aimed at a sustainable future, including (alongside Nissan) a €4 billion investment in electric vehicles.
The Challenge
Renault needed national level georeporting for local and regional analysis of their network. The goals of the Renault France team are threefold: optimization, standardization, and a more granular analysis. With 4000 outlets across the country, Renault’s presence in France is extremely significant. Each regional manager is looking for the opportunity to look into coverage levels, local competitive landscape, and outlet by outlet performance data. Having a unified system where their regional leaders can look at their own data to make decisions around resourcing and geomarketing, while standardizing language and process via a single platform across the country, would help meet KPIs for sales and aftersales outlets.
The Solution
To meet their complex and wide-ranging needs, Renault worked closely with CARTO’s Professional Services team, defining their needs and investigating exactly what kind of solution would be most beneficial to meet their goals. Together, they developed a full service application, geared specifically towards meeting regional KPIs. The application brings in existing outlet sales and post-sales data, population and sociodemographic data, and more. With built-in algorithms for assessment and on the fly analysis the application enables rapid and informed decision-making and optimization across their network. The custom application provides granular views of car sales and after-sale operations such as workshop time, wholesale, services, accessory sales, and car park operations. Designed specifically with regional managers in mind, as they work towards optimizing sales and efforts across multiple categories, this application allows for a significant degree of filtering and layering of data.
Operational Impact
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