Amber64 and its features
The various features of the artificial intelligence engine are as follows –
- Product Recommender
Product recommenders are a combination of tried and tested algorithms that take the opinions of a varied clientele and gives back the same to the buyers who are found to belong to one of the different clientele groups. Many demographic details are considered, along with their behavior on websites including purchase patterns and clicks.
A good recommendation of products not only helps in converting a shopper to a buyer, but it also ensures that the buyer comes back again for another purchase creating loyalty between the online merchant and buyer.
- Category Advisor
Improve conversion rates using Artificial intelligence analyzers dynamically.
- Persona Merchandiser
Improve customer experience using Artificial intelligence and machine learning techniques. When a buyer sees a personalized notification instead of a generic one (and quite often, paid), the chances of the buyer viewing the notification with interest and clicking on it to get into the app and view more products are much higher.
- RI Intelligent Merchandising
Unique knowledge about the customer gained from artificial intelligence. A complex machine learning algorithm that considers multiple parameters for each product and product type, along with considering the user’s actions, with different degrees of weights for positive and negative reactions to products, makes this kind of RI Intelligent Merchandising possible.
Gives an overview of various activities like activities like Clicks, View, Add to cart, Add to wishlist, Reviews & Ratings. Quite similar to Google Analytics.