This content was created by GHION.AI . This content was uploaded by GHION.AI . This is a YouTube video titled "Jess Lee: Community Approach to Social Commerce" created on November 28, 2012. Jess Lee discusses the evolution of e-commerce, particularly focusing on how Polyvore tracks trends and personal taste to enhance the shopping experience. The talk highlights the shift from traditional e-commerce driven by specifications to a more taste-driven approach, applicable to various product categories beyond fashion.
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So Peter talked about the fashion magazine side of Polyvore. There's another sort of trend that we track nicely against, which I think is the evolution of E commerce. So if you think about how E commerce came about on the web, it was driven by categories like electronics. So buying a digital camera and the way you think about buying a digital camera is, well, it's very research driven. You care about hard numbers and attributes like number of megapixels or price. And because of that, the E commerce experience, the standard E commerce experience is a search box and then a set of filters like digital camera refined by 10 to 16 megapixels under $500. And then you start to look at the reviews and that's whether you're looking at a clothing site or anything on Amazon.com, that's sort of the standard UI. But there's actually a whole category of goods that you just don't buy that way. Like I have this, I bought this shirt. It's like a specific color. It's actually got a huge hole in the back, which is kind of impractical. But I just like it. That's my taste. I like this shirt and I like the particular brand that it came from. So I'm buying this shirt based on my personal taste, which is incredibly arbitrary and based on trends that evolve over time. Like, I'm sure this shirt will be extremely uncool in 10 years or two years, I don't know, but it'd be cool again in 10 years. That's right. Yeah. But you know, taste is always evolving. So I think there's a category of products that you buy based on taste. And at Polyvore, we're trying to understand people's taste. So when people mix and match products they like, that's them giving us data saying, hey, this product is cool. These two products go together. We can extract from that a trend, the, the hole in the back of your shirt trend or whatever. And we can track that over time. So our community is giving us tons and tons of data about taste. And from there we can do all kinds of things like build a better shopping experience that's more discovery and browse based, have friends recommend to friends what they're buying. And so that's sort of what I see as the evolution of polygon. It doesn't just apply to fashion. It's also the way you buy a sofa or wall decor, wedding items. But I think there's actually a lot of categories of products that fall into this. So that's sort of where I see the product vision going.
