how visual search engines are disrupting the retail industry

How Visual Search Engines Are Disrupting The Retail Industry

Everyone sees how visual search engines are disrupting the retail industry. It’s no secret. After all, e-commerce is on the rise. Also, brands care about visual search technology. And the retail industry has changed drastically in recent years.

How Visual Search Engines Are Disrupting The Retail Industry

Most companies turn to AI for solutions. To deliver the best shopping experience. Besides, the retail industry suits well with AI because it’s rich with data. And more is generated every day as well.

Additionally, AI can be applied to different parts of e-commerce. It also serves as a digital shopping assistant. How so? Well, chatbots can automate customer service tasks and cut costs. Moreover, deep learning algorithms can manage product labeling with no human help. Thus, improving the product’s searchability.

Also, computer vision is a disruptive force. For instance, it enables image search and virtual fitting rooms. More to that, it allows them to track the movement of people as they move around the store and many more. Additionally, a successful visual search engine can do multi-object detection as well as image similarity search.

Brands Now Use Visual Search Technology

Snapchat Becoming A Player In Social Commerce

It was 2018 when Snapchat joined forces with Amazon, rolling out a visual search feature for its platform. For example, when users point their camera at a specific product or its barcode, they will be provided with a list from Amazon. The list will show similar items as well as their prices and reviews.

Pinterest’s New Feature

Pinterest launched its Visual Lens in 2017. This update is quite similar to Snapchat’s feature. For example, you can point your smartphone’s camera to any specific items. Then, Pinterest’s machine learning technology will provide a list of similar items.

Additionally, in 2018, they upgraded Lens by allowing users to add text along with the image to get more accurate results.

Levi’s Creates Authentic And Personalized Experience

The brand Levi’s partnered with Pinterest. Therefore creating a personal styling tool called “Styled by Levi’s”. How does this work? Well, once the users access the feature, the tool requires them to pick 5 images that best describe their style.

After that, the tool will generate a Pinterest board that features products that suit their taste. And links directly to Levi’s’ website if ever the consumer decides to buy the item.

IKEA Experiments With Visual Search Tools

IKEA allows its customers to snap a photo of their desired items. Then the app’s computer vision technology will provide a list of IKEA items that match the photo. Along with its links and information. Thus this makes the process easy because describing furniture can be difficult sometimes.

Donde Is Speeding Up Purchase

Donde Search developed the AI-powered feature called ‘Discover Your Style’. This allows the customers to search for products using a universal language. Which is then based on visuals instead of words.

Additionally, Donde’s research shows that consumers are more likely to leave sites that involve more than 3 clicks. Thus, using visuals may reduce the number of clicks and speed up the process.

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