Image Search Technology – The Next E-Commerce Revolution

Image Search Technology - The Next E-Commerce Revolution

According to a recent study, there are about 2.6 Billion smartphone users globally and by 2020 that number is expected to soar to a staggering figure of 6.1 Billion smartphone users worldwide. It not only will lead to numerous new technological developments, but also will revamp the many existing ones. And the one area we can be certain of to see the huge impact of the technological development is the modern e-commerce market. We have already seen the gigantic rise of e-commerce websites and apps disrupting the traditional retail industry and we will continue to see further disruptions in the same space as the e-commerce companies vow to provide better services to their loyal customers.

And one such technological disruption taking place as we speak is the rise of “image search technology.”

Image search technology has been around just long enough for most of the tech-savvy users to have used it at least once, if not more. However, there still remain many questions surrounding Image Search Technology. Most of these questions are more like confusions as not everyone who has used image search technology not necessarily understand it. The difference between image search, visual search, and reverse image search is still unclear even to the most tech-savvy customers. And even though all the above terms sound pretty much the same, the fact is that they are worlds apart from each other. So before, we start discussing how image search technology will reshape the future of e-commerce it’s quite important to understand them. It will help you adopt the best-suited technology for your business. So, let’s have a closer look at the three one by one.

Image Search –

Image Search is exactly the same as what you think it is when you read the term. Image search is the process of reverting back images as the search results regardless of the search query or the search input. A fine example of this is the Images tab in the Google SERP when you search for “Cat images” or “memes.” Don’t act like you have not searched for cat images ever. We all have.

Reverse Image Search –

Reverse Image Search is a subcategory of image search where the input query is either an image or the URL of the image. The search result page displays the image that is associated with the URL or the image that was given as the input.

Visual Search –

Visual Search, as opposed to the other two, uses the metadata associated with the image, the keywords, the description etc. as the input to display search results. This is a slightly different process in a way that it displays diverse search results as opposed to ‘similar’ images to the input query.

So, now that we have explained the different types of Image Search Technology currently in use, let’s take a step further and understand how modern e-commerce websites can leverage them for their business gains.

Image Search Technology For E-Commerce

The significant use of Artificial Intelligence and Machine Learning in the modern e-commerce websites or product discovery platforms like Taglr, using image search technology has become a lot easier than before.

The machine learning algorithms in current times is capable enough to identify the shape, size, color, face etc in an image using technologies like Tensorflow, which means, if you have an image database, strong enough for the system to study and identify, your website and app can yield better results for every search query entered by the user. One of the biggest benefits of image search technology for e-commerce is the rise of offline to online shopping practices. The shoppers now can click the picture of the article offline and search for them online from their favorite e-commerce platform. Even the offline retailers have started to integrate the technology for their business gains by signing up with online product discovery platforms like Taglr, which allows the retailers to list their inventory online and makes them discoverable to the shoppers online. The increase in smartphone adoption by modern shoppers has just aided to the technology in a big way as the customers can now snap the picture of the product on the go and search them anytime he/she is ready to shop. The best thing about this technology is that you do not need the picture of the exact item you are planning to buy, you can even use images from the real life and use them to find the articles related to them online. It has made the transition from offline to online a lot smoother than it earlier was.

Amp Up Your Revenue With Image Search

One of the biggest hurdle the modern shopper face is finding the right product from the stack of millions of products available online. Shoppers either need to remember the exact product details or have to go through millions of products to find the one best suited to them. As a result at times, they end their search long before completing the purchase. As a result, the revenue for the retailer takes a hit. But with image search, the hurdle gets shortened to a great extent. With the image search technology allowing shoppers to upload images in a different format to find the perfect product it not only saves significant time for the shoppers but also makes searching for the product a lot easier. It means the whole process of online shopping becomes a lot faster and gives a bit of boost to the revenues of the modern retailer. So with a simple integration of image search technology, you can amp up your revenue.

Thus, if you are not harnessing the power of image search technology for your e-commerce business it’s about time you give it a second thought. A smarter decision today can paint a brighter picture for tomorrow. ')}