Case Study: WashTec achieves predictive maintenance and operational efficiency with Exasol

WashTec accelerates analytics for 50,000 installations with Exasol

WashTec AG, a global leader in car wash solutions, faced the challenge of unexpected machine downtime and sought to enhance operational efficiency through digital transformation. They partnered with the vendor EXASOL, utilizing its Exasol analytics database as a central data warehouse, to consolidate and analyze vast amounts of machine data and enable sophisticated machine learning initiatives.

The solution implemented by EXASOL provided the high-performance foundation for a predictive maintenance model, developed in conjunction with Dataiku. This allowed WashTec to predict gearbox failures, substantially reducing unexpected downtime. The results included optimized resource allocation and markedly improved customer satisfaction. EXASOL's scalable system enabled rapid data processing and model iteration, establishing new benchmarks for efficiency in WashTec's operations.

WashTec AG