In this case study we will show how SKOPOS developed a solution using state-of-the-art technology from the fields of Artificial Intelligence, machine learning and statistics to extract deeper insights from SEATâs customer satisfaction survey. This thereby enabled SEAT to further take the customerâs perspective at the center of their market research division. We show that Artificial Intelligence does not need to be a black box, that scalable solutions are available already today, and how market research teams need to evolve and embrace new ways of doing research.
Author: Adrian Terron
November 11, 2018
Cross-linking the quality expectations of the customer to quality control measures on the factory floor
Author: Alfons-Pierre Ameel
September 8, 1991
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