Product Recommendations

Understand product interests & buying behaviors at individual customer level

Product Recommendations Graphic Haensel AMS service

Cross Sell

By clustering similar customers based on observed buying behavior or other descriptive parameter, we identify white-spot items, which have a high likelihood being interesting for the customer. The results can be further enhanced with time-series models, to predict item trends seasonality effects.

Buying pattern

By analyzing historic transactions we can identify strong customer-product relations, which reflect needs and affinities. These customer individual core/ regular products can be used to identify basket composition patterns and to predict future transactions and customer needs quite accurately.

Product Recommendations Graphic Haensel AMS service

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