Keep User Engaged Throughout the User Journey with Smart Recommendations
Delight customers with highly relevant product recommendations tailored to every shopper type, even unauthenticated users. Recommendation xperience Engine enables merchandisers to deliver personalized content throughout the customer's shopping journey. By keeping users engaged throughout the journey not just directly impacts the top line, it also builds relationships and trust among the customers which can account for many more future purchases.
Wide Variety of Selection
Recommendation xperience Engine provides a wide variety of product recommendations for different parts of the eCommerce site and different stages of the user journey.
Intelligence Powered by AI/ML
Intelligent AI/ML algorithms give smart recommendations observing customers' behavior patterns for browsing, wish-list, brand affinity, purchase, etc. Further, the advanced algorithms continuously use data to find the latest behavior trends and update the recommendations.
Better Control Over Cross-sell and Upsell
ARC provides tools for the business user to effectively manage and configure boosted products in various recommendation sections to accommodate diverse business needs.
Key Features
A Recommendation xperience Engine filters the data using different algorithms and recommends the most relevant items to the users.
View-View
Gives the user all the other products that were viewed/browsed when this product was browsed.
Bought-Bought
Gives users a list of products that were bought when the browsed product was bought.
View-Bought
Shows the recommended list of products that were bought when the customer viewed this product.
Best Seller/Top Seller
Shows best seller products across various categories/ entire catalog.
Frequently Bought Together
Shows a list of products that are generally bought with this product in the same order.
Popularity Based
Gives a list of brands for which most products were viewed, added to wish list/cart, or purchased. This section also considers user ratings if available.
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