Personalised recommendations using artificial intelligence
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Personalised recommendations using artificial intelligence
New function in Porsche Car Configurator
Stuttgart
. Intelligent support in real time:
The ‘Recommendation Engine’ is based on several million data points from the Car Configurator. To implement it, more than 270 machine learning models were trained for specific markets and derivatives – so-called neural networks. These use algorithms to find specific patterns in the data, making it possible to predict options to provide the greatest possible benefit for each individual customer based on their own choices. As a result, the recommendations are more than 90 percent accurate – meaning there is on average a 90 percent likelihood that a suggested feature will match a customer's interest. And because the ‘Recommendation Engine’ is self-optimising based on new data, this rate actually improves over time.
“By using artificial intelligence in the
Customers in six sales markets can currently take advantage of this offer: in Germany, China, USA, Great Britain, Switzerland and Taiwan; others will follow. They can access the virtual consultation via the ‘Recommendation Engine’ by clicking on a light bulb icon at the bottom of the page. As part of its digitalisation strategy,
Further information, film and photo material in the
2/3/2021
Further information and pictures for journalists and media representatives can be found on the
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