Personalised recommendation systems are particularly at home in eCommerce and digital commerce, artificial intelligence, big data and smart data. They help to make the online shopping experience more personalised and customised for customers.
Imagine you are shopping for shoes online. The system remembers which products you click on and add to your shopping basket. Based on this data, it suggests other shoes or complementary products that probably also match your taste. This is no coincidence: behind these recommendations are sophisticated algorithms that evaluate the behaviour of many customers in order to make personalised suggestions.
Personalised recommendation systems help companies to better understand their customers, anticipate their needs and present suitable offers. In turn, customers benefit from the fact that they can find products that really interest them more quickly. Well-known examples include recommendations from large online shops such as Amazon or the "For You" playlists from music services such as Spotify. These systems are based on collected user data and artificial intelligence in order to continuously improve the shopping experience and increase user satisfaction.
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