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Personalized recommendation

Personalized recommendation enables the identification of the best product or offer for each type of customer at any given time and for each sales channel, increasing both conversion rates and average spend per customer.

Personalized recommendation systems utilise any available information that reflects customers’ interests in terms of products, such as purchase history, newsletter clicks, online store browsing, product ratings, and so on. Recommendations can be applied at all points of customer contact, both online (newsletters and web browsing) and off-line (POS), and generated in real-time, so that each customer may be shown the most relevant products at the right moment.

At Kernel Analytics we develop advanced, multi-channel personalized recommendation systems that integrate and adapt to the needs of each specific business, exploiting its full potential and getting the best results.

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