AI is Changing The Way We Shop

Using cutting-edge artificial intelligence, shoppers can now find the products they love faster than ever before. and FIND.Fashion offer a search experience that recognizes emotions in order to get people what they really need without having search through pages of irrelevant information. Together, these companies have leveraged artificial intelligence (AI) to recognize shoppers’ emotions to get them to the products they love faster than with a text-only search. 

“Some shoppers aren’t sure exactly what they want; they just know that is a good place to find it at a great value,” said Antonio Gallizio, board member and chief commercial officer at, the world’s largest online consignment and thrift shop. “Adding FIND.Fashion visual search makes it easier to find what they want in that moment, and it makes the shopping experience faster and more engaging.”

Visual Searching Works Better

Chicago-based makes the process of buying and selling pre-owned clothes more convenient, safe, and profitable. The online store offers pre-owned baby, kid’s, maternity, men’s and women’s apparel and accessories, and adds more than 200,000 new listings each month. Currently, it has over two million items for sale online. 

FIND.Fashion is based on the proven fact that visual searching works better than text searching in e-commerce categories such as fashion, where the appearance of a product is what matters most. Its technology detects emotions from the user’s actions instead of focusing only on text-based searches or saved data that can be inaccurate because of changes in personal tastes or seasons. 

Finding Hidden Gems

With this technology, shoppers do not have to describe what they want by typing; the platform uses intuitive visual search that makes it four times more likely that the shopper finds hidden gems. 

Emotion recognition technology has made great advances through the years. Using software, a program examines and processes the expressions on a shopper’s face. The program functions like a person’s brain, with the capability of recognizing and evaluating emotions. 

“We’re thrilled that customers are enjoying FIND.Fashion visual product search with emotion recognition,” said Heikki Haldre, FIND.Fashion CEO and co-founder. “There is no doubt that visual search is blowing text search out of the water.”

Growth of Smartphone Shopping

The move by to visual-oriented mobile shopping is right in step with the skyrocketing growth of shopping by phone. According to OptinMonster, 49% of people shop exclusively on their phones. In 2021, mobile shopping dominated online sales by driving 54% of all transactions. 

A person holding a phone

Description automatically generated with medium confidence uses technology that relies on AI and shoppers’ emotions during smartphone searches. 

Of mobile shoppers, 67% said they window shop for fun on their phones and 77% make impulse purchases. 

The global online shopping market hit $4 trillion in 2020, and in the U.S. alone, there will be three hundred million online shoppers in 2023. 

Since has the largest online selection of secondhand items from individuals and stores, intuitive searching that combines AI and emotion recognition helps people find what they want, even if they did not know they wanted it. 

“We know this because buyers who use the search walk away happier with their purchase,” said Gallizio, “and they find more products on our site that they inevitably buy.”

The innovative search method enhances business for too. It makes the company stand out from competitors and improves its e-commerce business across the board. and other companies committed to solving the fast fashion environmental problem as well as the consumers who have sounded the alarm about clothes going into landfills are a driving force for change. and its leadership are enthusiastic about making secondhand clothing very available to shoppers while making a measurable impact on the amount of clothing that ends up in terrible places. Its partnership with FIND.Fashion is evidence of that commitment.