AI meets CX

Date of publication: November 11, 2018

Abstract:

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 SEAT’s customer satisfaction survey. This thereby enabled SEAT to further take the customer’s 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.

Christopher Harms

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Luis Freile

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Marc Zörnig

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