Enabling vehicle inspection through big data architecture

BUS AS, a long-standing customer of 99x, manages a software platform that tracks vehicle service records in the Nordic region. BUS wanted our team of experts to explore a solution that utilised three decades of data to come up with predictions of potential areas of defects in a vehicle.

These predictions would then help workshop technicians cut down inspection time, while also helping second-hand vehicle buyers to know in advance the potential defects of vehicles they are buying.

The successful deployment of the predictive service has enabled BUS AS to utilise decades of data to bring about real-time benefits and savings to its consumers today.

Identifying the best tools and environment

Creating this predictive service for BUS required 99x to identify the proper tools and environment to evaluate such a vast amount of data, carry out ‘data cleansing’ on millions of records to fix inconsistencies, embark on detailed testing and quality assurance of the datasets, the model, etc.

Deployment of predictive services

99x’s big data team was able to create significant new IP for BUS by harnessing an array of disciplines such as privacy-preserved processing, statistical analysis, machine learning, cloud computing and big data QA

Adapting to the latest technologies

99x’s research teams work closely with the newest technology to understand unique ways of integrating them into real-time business solutions.

Team expertise

“We see it as our mission to provide powerful applications to advance the accuracy and quality of vehicle inspections and vehicle trade-ins. The 99x Big Data team’s expertise has been essential in propelling BUS into the forefront with this unique solution.”

Lauren Hoivik, Head of Product Development

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