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Clustering algorithms & designing recommender systems at IceMobile
XomniaCasesClustering algorithms & designing recommender systems at IceMobile
"It has been a pleasure working with Xomnia. They are experts on the subject and very capable of explaining this knowledge to both technical and non-technical people within our company. Together we have been developing truly personalized promotions for our clients. Thomas Hantke, Data Scientist."
More about the case:
IceMobile is the market leader when it comes to digital loyalty campaigns within food retail. It combines data & digital research to deliver personalized mobile applications to increase customer loyalty and revenue for retailers worldwide. For one of its applications, IceMobile wanted to create personalized promotions for each customer. The challenge here was to include all relevant factors for a good promotion such as, but limited to, transactional history, shopping behavior (e.g frequency, types of visits) and customer characteristics.
Together we have started to explore multiple solutions ranging from clustering algorithms to recommender systems. To assess the performance both on an aggregate level as well as on an individual level we have designed a framework and dashboard which allows for quick prototyping and shows key performance metrics for different types of algorithms. These algorithms were developed in a scalable and distributed manner to allow for food retailers with a worldwide presence. This system gives IceMobile the opportunity to create truly personalized promotions leading to better customer engagement and loyalty.