Following the example of the perfect table, if you take a picture of it, visual search can help you find and shop either identical or very similar tables. The technology uses visuals as ‘queries,’ and analyzes shapes, colors, and sizes to find the best matching search results. In short, the more images a visual search engine has analyzed, the more precise it becomes. Visual search solutions utilize artificial intelligence and machine learning technologies, which means that such systems are constantly improving based on the experience they gain. It identifies objects within an image and searches for other, similar ones. Visual search is a solution that fills the gaps where words fail to describe what the customer is trying to find. In this article, we will analyze recent progress made by the industry’s top players and discuss what marketers can do at the moment to make the most out of visual search. The visual search industry has developed significantly over the past decade, integrating technology with neuroscientific knowledge. This is where visual search comes in – a technology that meets human nature. You think about it during the day and can’t sleep at night wishing you knew where to buy it. And while it’s quite easy to cater to individual preferences and tastes when shopping, sometimes you just fall for a perfect table that you saw in a coffee shop. We tend to judge products based on whether we visually like them or not. This natural predisposition shapes us as consumers. Neurons devoted to visual processing make up about 30% of the human brain cortex, compared to 8% for touch and 3% for hearing.
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