Personalization
Craft a unique shopping journey for each shopper every time they visit
Offer 1 to1 personalized experience by detecting the shoppers preferences from their recent interactions
In-session Personalization
Identify shoppers' affinity in Real-time to personalize results according to their preference within the same session
User Affinity based Personalization
Offer 1:1 personalized search results to each shopper by identifying preferences from their interactions with your site
Optimize personalization strategy
Define a personalization strategy that works best for your business using our AI console
Dynamic ranking
Leverage 200+ signals for ranking products to maximize conversions
Our Learning-to-Rank models optimize the ranking of products in real-time using contextual signals received along with the search query
Our advanced Learning-to-Rank (LTR) models automatically optimize the ranking of products on your website to increase conversions. The LTR models have ability to optimize ranking for 90% of the search queries (in-contrast to traditional clickstream based ranking models which only cover 20/30% of the head queries) with the help of more than 200 signals.
The signals are fed to the learning-to-rank model in real-time to rank the products in the result set.The LTR model is trained to identify shifts in trend and automatically rebalance the importance of the signals to rank products which convert.
We use a combination of optimized real-time processing techniques and precomputed cached metrics to generate the signals without affecting the performance of the search query. The signals are generated for each request by Unbxd using a variety of factors associated to the query, the user, the store and the catalog:
Dynamic ranking
Dynamic Ranking At Work
Offer 1 to1 personalized experience by detecting the shoppers preferences from their recent interactions
Geo-location
Boost performance of your omni-channel retail strategy & localized marketing campaigns by incorporating location as a criteria for ranking products
Seasonality
Capture seasonal trends automatically to enhance the search results according to shopper preferences during the season
Device Based
The shopper behaviour changes with platform. Our algorithms detect the nuances of each platform to offer an optimized experience for every platform
Freshness
Rank products which are fresh and highly converting
Trending Products
Shopper behaviour on your site may change temporarily in response to planned promotions or external event. Our algorithms can detect such trends and adjust product ranking to surface trending products
