Product recommendation frame

Implementation of product recommendation strategies using the iPresso feed manager enables dynamic and effective display of frames with recommended products tailored to individual customer preferences. Our platform integrates with product and customer data to create personalized recommendations. Algorithms analyze purchasing behavior, browsed products, and transaction history, providing recommendations based on actual customer preferences. Frameworks with recommended products are dynamically generated based on the strategy established in the iPresso system. They can be used in various communication channels, such as websites, e-mails or messages on social media platforms. Additionally, recommendation strategies are flexible and can be modified in real time to better adapt to changing customer preferences and needs. The customer therefore receives personalized product recommendations, which increases the attractiveness of the offer, improves the shopping experience and contributes to increased conversions.