Re-rank your products after relevance – based on current and previous browsing and buying behavior. Improve the search experience for your customers, which makes it easy for them to find the product they are looking for.
Functionality enables you to sort your products according to personal relevance, popularity, preferences, etc.
Raptor is based on data mining, machine learning and algorithms. This is what makes Raptor one of the market leaders within personalized recommendations. Target the right customer with the right message at the right time by sending consistent message across all channels.
Data mining is the process we use to find patterns and correlations. This helps us to understand what is relevant and allows you to increase revenues, cut costs, improve customer relationships, reduce risks and so on.
We use Machine learning as a method of analyzing data, which then automates analytical model building. Machine learning allows us to find hidden insights without needing to explicitly program where to look.
Our advanced algorithms iteratively learn from the collected data, providing powerful insights into the unique user browsing and buying patterns. Empowering you to create individual customer profiles on a 1:1 scale.
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