Hey everyone.
Before COVID-19, the trend of ecommerce and online retail shopping has always been on the upward trend. Because of our unfortunate times, this trend has only accelerated.
The idea is to have a chrome extension, that serves as your global wishlist, allowing you to wishlist items from any ecommerce store.
The difficult part here is to develop a machine learning process, that can detect the items on the webpage, and add the extensions "wishlist" button on them.
What do you guys think?
It allows a consumer to have a global list of all items they would like to buy in the near future, from any online store.
Hell yeah, I use a Notion table to do this and it sucks my soul out. I feel like this problem doesn't need any machine learning. You can probably make some early rough generalizations (such as a product exists multiple times on a site, has a price tag etc.) and optimize as you go. I suggest you only allow the item to be added to wishlist from a product page to allow for a faster mvp. Good luck!
Thanks so much for your suggestion!
I think I'll do that as my rough draft, and as a fall back, give the user the option to manually add it to the wishlist.
Is there anything else that you'd like to see? You mentioned you used Notion table and the process is frustrating.
I don't have any specific suggestions. My notion set up includes basically the item's name, its tag, its price across multiple sites. It's frustrating to do the price comparison, not being able to see the wishlist organized by tag, and not being able to track previous purchases in a visual way. Maybe you can create separate named wishlists? Hope this can give you an idea.