The search by color in e-commerce is a very specific way to search for a product in the online store and is widely used by the most determined customers, but it is also an extremely important resource for e-commerce. Understand how it works.
A search by color in e-commerce, in addition to being a way to search for a product within the online store, it can also be a great retention strategy and conversion. But, for that, it is necessary to bet on the right resources.
There are two ways to enable e-commerce to deliver the right results when the customer searches for color: with image recognition and without image recognition.
Want to know the difference and which is more advantageous? So read this post to the end and stay on top of the following topics:
- search for color in e-commerce: what it is and why it is important;
- color search without image recognition;
- color search with image recognition.
Search for color in e-commerce: what it is and why it matters
The search for color in e-commerce is a very specific way for a customer to search for a product in the online store, but it is also a resource of extreme importance for e-commerce.
When a customer looks for a product by color it means that he is well decided as to what he wants to buy and even knows the color he wants. That means that the chances of conversion are much higher.
Therefore, it is necessary to seize the opportunity and deliver what he seeks, the way he seeks, as soon as possible. And, for that, it is necessary that the store has the “search for color” feature working perfectly.
For example, if he types “black pants”, e-commerce needs to be able to deliver all black pants results available in the store. Without delay and without mistakes. Otherwise, he goes out and searches the competitor's website.
Search for color for e-commerce without image recognition
Today it is possible that the search for color is done through image recognition with artificial intelligence. But this is still new in the market. The most common is that the "color search" works without image recognition, but through written text.
For this, the responsible professionals need to create a category or an attribute and inform the colors of the item. They can also do this in the product description.
But this is manual work that must be done item by item. So imagine how much time and work it takes. And even after it is done, there can always be some failure or, in other cases, it can happen that the team is unable to accomplish or end up forgetting.
Search for color for e-commerce with image recognition
Searching for color with image recognition is very easier and more assertive, because with it, the team does not need to register the colors of all products one by one. Everything is made of Automatic mode through artificial intelligence.
isso prevents failures, optimizes team time e improves user experience. Because he can find that “red wallet”, for example, easily, without spending time searching among so many options.
It works like this: intelligence decodes and collects color information directly from the image. For example, when the customer types the word "red", she translates that text into a number and looks for that same number in the images in the store's product catalog. If there is an equivalent product, it will be delivered to the search results.
This is a very interesting feature for clothing stores. For, even if in the image there is a model using other pieces with different colors than the chosen one, the intelligence observes only the product and the color sought, as shown in the image below.
The search for color with image recognition it is another evolution of e-commerce. An advance that facilitates the dynamics of virtual stores and delivers to the end consumer exactly what they are looking for, personalizing and elevating the shopping experience.