Improving vehicle quality
Exploitation of customer feedback during garage repairs
Challenge
A car manufacturer wants to improve its quality of service. A vehicle generates an infinite amount of data during its lifetime.
This provides invaluable information about the quality, safety, and performance of the vehicle.
By operationalizing this data, complex and interdependent quality problems can be diagnosed to help improve the quality of vehicle engineering, and the assembly process.
Solution
Octopeek deployed a Big Data infrastructure to centralize and coordinate, batch and real-time feedback of all quality elements for repairs to the client’s vehicles.
Key performance indicators (KPIs) and dashboards were created to make use of this data. In particular, this infrastructure has helped trace defective parts from the servicing garage, to the supplier, which has improved the quality of the engineering and the assembly processes.
The deployment of a Big Data infrastructure and the implementation of performance indicators and dashboards has resulted in a significant return on investment with respect to the group’s warranties (one of the largest expenses of the car manufacturer).
This work has led to a significant decrease in the cost of manufacturer refunds, and recalls thanks to detection and correction at the outset of a design and assembly change process.
Why Octopeek?
The automotive industry needs to move from ad-hoc experimentation with AI to enable everybody within the organization to use it to improve both operational efficiency and deliver business value.
Octopeek aims to be the platform that democratizes AI in the enterprise: it makes possible a dynamic creation and provisioning of full-fledged enterprise AI applications, customizable by business analysts.
