“Facebook might soon be able to improve your fashion sense.
The company is currently experimenting with AI to create an initiative (titled ‘Fashion ++’) which, rather than recommending entire overhauls of your outfit, would make small suggestions about what could be improved.”
“Choice paralysis: Shopping has become a stressful activity given the rise of a plethora of brands vying in a crowded market.
‘But the brands that make the products have answers to all possible questions. That is what led me to start AskSid.ai, a conversational AI platform,’ says Sanjoy.
“The outcome AskSid produced was a staggering 40 percent increase in conversions compared to web channels and automation of 800 customer service requests with creation of 1300+ size profiles,” says Sanjoy. “
AskSid mainly delivers three business outcomes –
a) conversations with shoppers to simplifying their experience,
b) a better product catalogue to showcase products to the customer, and
“The second trend that I see with fashion ecommerce in the U.S. is that the customers are still more hesitant to make online purchases for more than $200. However, in Asia, consumers are more used to having a higher-priced digital transaction.
We did experiment with AI, but at the end of the day, AI and fashion don’t go together. There is a big human element in it. Every item on our platform is indexed and categorized. It’s given a certain number of fashion points for various aspects by our fashion analysts.
It’s AI‑assisted. The AI that we developed guesses what kind of clothing an item is and what it should be used for based on its color, size, type, etc. It does the basic categorization like that, but the final approval is done by a human. That is why we can’t do 50,000 different kinds of clothes. We are very focused on international designer brands. We only have roughly 8,000 items on our site, only very high quality.”