The new American Eagle supports you to find the exactly what you. We know the relationship between you and your clothes is an intimate one. Make sure it feels right.
Let us help you help each other. You and your fellow shoppers share more than a passion for clothes. You share a vocabulary. Now, you can search for clothes in your own language thanks to tags written by other shoppers who have already seen and felt the items. Figure out how items are going to feel against your skin before you let them get too close.
The user can provide feedback on an item through the StyleBot or through the online review page. The system will extract the keywords and update them as crowdsourced tags on the product detail page.
The product detail page shows a ranking of popular tags that customers use to describe the item after they purchased and received it, so that new customers can understand the fit and feel of the item before purchasing it.
Crowdsourced description tags also make searching items easier and more intuitive.
Shoppers trust other shoppers to give descriptions of clothes they’ve already bought, felt, and tried on.
Most popular tags help shoppers predict online what clothes will fit and feel like when they get them in person.
Tags are easier for shoppers to skim than reading through full user reviews and convey different information than the online descriptions.
Shoppers can ask for what they want in natural language and the site can match items by tag.
Users manually generate tags when they leave a review. The system automatically extracts relevant words from reviews. The platform facilitates a product search by tags.
Allow voice dictated tag search.
Respond to a more complex request, e.g. “Pick the closest AEO out t that looks like Beyonce’s out t at last night’s concert.”