Visual Search – “A Picture Is Worth A Thousand Words”

Sometimes, the things we want, simply can’t be described, and when this is the case, we turn to a picture.

Now, with the help of Fast Simon innovative technology, you can shop in an entirely new way by beginning your search with an image.
When you don’t know what term to type, or how exactly to describe what you are searching for, you can take a photo on your mobile device and get results that matches that photo.

Fast Simon is harnessing the power of AI to help customers easily search for the products they can’t describe but really want.

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visual search

“Complete the Look” – Enhance the shopper experience

  • Supercharge your store to the way your shoppers truly search on mobile and help them find other products that are available in your store.
  • This is an AI-based capability that requires no manual work from your end.
    Your conversions and AOV will thank you.
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Bridge the gap between the physical and the digital worlds

Let’s say that your future shopper is in the physical store at the moment, looking at a piece of furniture they really liked, a colorful patterned sofa, but are not willing to pay the high price in the store, thus turning online to search for what they want. The problem is they can’t really describe that specific piece of furniture, it’s material, shape, pattern etc. A photo search of that exact sofa will probably do the trick. That’s where Fast Simon Visual Search feature will come in hand.

Fast Simon is helping shoppers search for what they really want but can’t describe.

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Visual Search – How it works

Fast Simon Visual Search uses a deep learning model. The model’s output creates a representation of the shopper’s image that can be compared to images of the store’s products listing. That means that the listing images must have the same type of representation or a set of attributes that the AI can match the search image against, similar to metadata.

Once you enable Visual Search on your store, Fast Simon will study all your images and feed them to the AI to create a library of reference points.

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