Save 10x Shopping Time. Quality-Assurance & Product Mining. Purchase Items Impossible for Humans to Locate Internationally.
There are two Pain Points here 1: Consumers Do Not Know What To Wear. Pain point #2: Intelligent consumer designs at a global scale
[Local/Domestic]Pain Point #1: Style.
Our first mission is to address the fact that consumers do not know what to wear. The cost of a stylist is roughly $100-$500/hr(top-of-the-line), with consumers claiming its worth in the long run, so they identify style first to avoid spending more money on clothing long-term.
It would be more worthwhile to run an intelligent robot on your data, for a cheaper wage, to make smarter purchases for your style recursively. It would be more cost-efficient, and teach you about your style better than a human-stylist could.
Those Market Rates for Personal Styling and Client interactions are insane—especially since they still force you to spend money shopping before the consultation. It's not even a guarantee that after the consultation, a customer will be able to maintain an understanding of their style long-term.
A Data-driven, AI Robot could replace this industry in its entirety—considering its range, scope, popularity, and complexity of fashion analysis. For example, understanding "how is dressing business casual not the same as business", can be graphed mathematically, to turn the robot more knowledgeable than a "thousand dollar stylist".
In the local scope, consumers are in need 1. dressing better, and 2. making better purchasing decisions. Flair Fashion Studio.
[International]Pain Point #2: Intelligent Shopping & Resell Value
At a global scale, consumers struggle with finding foreign goods at appropriate prices that are long-lasting/worth their investment. Moreover, the global consumerist economy actively participates in resell fashion, constantly searching for what is the best Deal.
SHEIN is the primary culprit of "Instant Fashion", creating a data-driven system that enables low-pay labor workers to know what to create instantly, and then throw out based on data-insights. This has been prime suspect for why Polyester can be seen by NASA, and 35% of ocean microplastics originate from fast fashion.
A Software Solution to a Billion dollar Global Crisis would involve an enterprise system where we are running clothing quality analysis faster than fast-fashion can produce plastic. A System where users can run complicated clothing analyses, blacklist low-quality products, and know the % chance an item will have to be thrown out, by X time, prior to purchase.
A Deep understanding of product analysis done by a Robot, could Revolutionize the industry, ensuring we see past a Brand and into the quality. Software like this would be a complex system that alters the way every consumer sees Brands. For example, if you found the Chinese luxury factory that manufactures 40% of luxury goods at 1/10th retail price, wouldn't you want to buy from them directly and not Chanel? (I won't leak the factory name, but they exist)
Find Real Quality Instantly, Internationally, Lower Price, Less Time. Enterprise Flair Fashion.
