Here is what we dealt with while developing Beautonomy.
Parser
Problem:
For the makeup products used by the influencer to create their look to be shown on the Looks
pages automatically, we need to collect all possible information about them from multiple
sources. We can use data from Instagram posts, YouTube video caption tracks, and comments to get
the necessary names and brands.
Solution:
We made it work with the help of a parser so now the process is automated.
Artificial intelligence implementation
Problem:
When a blogger lists the items of cosmetics they use to create a look, Beautonomy should
correctly pick up their names even when they are incorrectly pronounced or written. Also, it
should be able to recommend users proper alternatives of products.
Solution:
To complete this task, we added artificial intelligence and machine learning elements.
AWS server
Problem:
The initial configuration of the AWS server was poor and inadequate. The pages were loading
extremely slow and the whole website could freeze for no reason.
Solution:
Our specialists fixed all AWS configuration and project architecture so now everything is working
smoothly.
Palette customizer
optimization
Problem:
The palette customizer was made for easy integration with Shopify, but the platform itself is
written on WooCommerce. It caused a conflict in the customizer’s endpoints.
Solution:
The team rewrote the endpoints of the customizer so it could integrate with the rest of the
platform without any trouble.