Our world class algorithms use a large variety of data to generate personalized and most relevant product recommendations for each of your visitors
Armed with the knowledge of most relevant and personalized products for each user, Boxx.ai personalizes every touch point for each of your customer.
Check out different use cases below.
Each category page usually has anywhere between 150 to 20,000 products. Our algorithms can reorder your entire catalog for each visitor showing her the most relevant and personalized products on top.
Personalized catalogs typically deliver 20-30% better conversion rates.
Boxx.ai allows a seamless integration of our personalization algorithms with your merchandising rules.
Imagine you walked into a store curated just for you.
That experience can be rolled out to customers through your online stores. The personal boutique is a cross category curation of products the customer is most likely to buy or view, listed on one page in a list format.
The customer can interact with this page and click on the “Like” “Dislike” buttons to share real time feedback about their choices and preferences too.
Powered with the knowledge of most relevant products for each user, Boxx.ai integrates with Facebook Instagram and Google to deliver personalized advertisements for each user.
If your store is built in Shopify, we have Shopify plugins for seamless integration.
If your store is built in Magento, we have Magento 1.x and 2.x plugins for seamless integration.
For all other e-commerce platforms. JS integration is as essy and intuitive as they come.
Boxx's personalization methodology is Superior to any other solution I have seen so far. Plus, it is super simple to use, requiring less than one day of integration and configuration effort.
Our association with boxx.ai is outstanding and beyond our expectations. We saw a increase of 20% sales after implementing their technology.
We use Boxx.ai to power our recommendations across platforms. It was extremely easy to integrate in Magento, Android as well as iOS. We were a bit apprehensive about the impact of Boxx.ai algorithms.