Recommendation frame will display to the user one of the products that were viewed or bought last time as well as recommended products that are similar or complementary to that product. Recommendation frame explains why the user got such recommendations.
Recommendation frame base on the chosen logic will display to the user discounted or not discounted products. The system will automatically predict and choose those products that are tailored to the needs and expectations of the user, based on their interaction path on the shop’s website. Recommendations change in real time after each product view and their content is influenced by the order of the products viewed by the user.
Recommendation frame based on the chosen logic will display to the user products with high profit margin. The system will automatically predict and choose those products that are tailored to the needs and expectations of the user, based on their interaction path on the shop’s website.
Recommendation frame will display to the user products that were added to their cart last time but were not purchased. Our system collects the contents of the current customer’s cart from anywhere on the page and updates it on a regular basis depending on the actions taken, e.g. adding more products or removing those already added. Our system shows products which are available in the catalogue.
Each user will receive a Recommended for you product offer tailored to their current needs and based on their interaction path on the shop’s website, i.e. the history of viewed and searched products during the last/last few sessions. Recommendations change in real time after each product view and their content is influenced by the order of the products viewed by the user.
