Images are important in shopping. And that’s how visual search fashion entered the picture. How does visual search change the future of shopping?
Let’s find out!
Visual Search Fashion
If only Cinderella is alive, she would love to use visual search. She would have easily found her lost shoe.
All it would take is just a snap of her other shoe. Then, use visual search fashion tools to look for it.
But why are we talking about Cinderella here?
Well, visual search fashion helps us find something we’re looking for. No need to type it on the search bar!
So, it gives shoppers more control. Also, it makes our search queries more personalized.
Shop the Look
Say we saw a lady wearing a red dress in the subway. And we want that same dress!
How are going to look for that? Traditional search won’t show you the same dress you want. But, visual search can. How?
Simply take a photo of it! You can point at it using a visual search engine. And voila! It will show you results similar to what you want.
Stages of Visual Search Fashion Process
What are the stages available in the process?
- Find a garment. Love the wedding dress in a movie you saw? You can look up the garment used! Also, you can see which stores sell them. You can even see the prices.
- Find a tiny detail. Saw a carpet in a living room photo? Let visual search do the trick! It has a cropping and zoom tool. So, you can search for that tiny detail.
- Search for accessories. Not sure what cushions look best on a sofa? Or maybe looking for clothes that match with your jacket? Visual search has an indirect search feature. It can also give suggestions for you.
- Search for furniture. Want to design your perfect room? Visual search has image recognition tools. Also, it has an augmented reality feature. It helps you know which fits where. Such as a set of shelves.
Visual Search Leaders
The year 2017 started visual search tools. Who applied this first? Here are some of the leading companies.
- Pinterest. Pinterest launched Lens in 2017. It allows users to take a photo of any object. Then, you can see related Pins. For example, a handbag you just snapped can show up.
- Amazon. Amazon created Spark. It has interactive images of the products. Like how Instagram made theirs later on.
- Google. Google made Google Images and Google Lens. The latter is more popular. You can search for items related to an image. Then, it shows products on Google Shopping.
- eBay. The company used machine learning technologies. It helps users to find products based on any image.
- Instagram. Instagram features badges of a product. Also, it shows prices and the direct link.
Conclusion
There is an endless application of visual search fashion. Thus, it is a favorite point in the retail industry.
The advantages are also limitless. With that, it is a useful addition to any fashion retail store.
