With the help of a comprehensive data analysis, Auto Lang AG laid the foundation for a new CRM system and other future digitalization solutions.
The traditional family business Auto Lang AG has been active in the car trade for over 90 years and offers conscientious vehicle solutions with passion at its locations in Kreuzlingen, Frauenfeld and Amriswil.
1929
founded
150+
Employees
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3
Locations
Even the best systems are only as good as the data that feeds them. Auto Lang AG therefore wanted to check the validity and quality of its customer data in order to be able to tackle future digitalization projects in a targeted manner. A particular focus was placed on the introduction of a new CRM system, which was to be based on a clean and reliable database in order to achieve the greatest possible added value. The aim was to analyze the existing data, identify potential for improvement and define sustainable standards for data management.
"Thanks to CorpIn's support, we have gained a clear picture of our data quality and can now tackle digitization projects in a targeted manner. The professional analysis has helped us to design our processes in a future-oriented way."
Anthony Cadalbert
Chief Operating Officer (COO) and Deputy CEO
As part of this analysis, we took a close look at Auto Lang AG's IT infrastructure and existing data structures. This made it possible to uncover potential for improvement and pass on specific recommendations. In this respect, Auto Lang AG gained valuable insights into the current quality of its customer data and learned how data can be recorded even more cleanly and reliably in the future. We also created a solid foundation on which advanced AI systems can generate real added value in the future.
Based on the findings, we jointly developed an action plan that described in detail how the data could be cleansed and enriched. This included clear measures to rectify inconsistencies, eliminate redundant data and break down silo structures. Sustainable data standards were also defined to ensure that future data is recorded in a reliable and structured manner.
The AI Readiness Analysis created a solid foundation for Auto Lang AG's digital transformation. With a clear understanding of data quality and a detailed plan to improve the data, the company can now move on to the next phase: the implementation of a modern CRM system. This system will both optimize data management and lay the foundation for future AI-supported applications that will drive the company forward in the long term.
