How Image Tagging Optimizes Fashion eCommerce Site Search?

In fashion eCommerce, images are crucial. They are often the first thing people see when browsing online. Unlike people who shop in physical stores, online shoppers cannot touch, feel, and try on fashion items. Because of this, eCommerce sites rely heavily on images to communicate product details and drive sales. Yet, images do more than just catch the eye if online fashion retailers leverage them effectively. By incorporating visual eCommerce site search tech like image tagging, your store can make images a powerful product-finding tool. Thus, it is easier for shoppers to search for and buy exactly what they want in your store.

The Role of Image Tagging in Product Discovery for Fashion eCommerce Sites

If you run an online store, you know how tedious it is to operate with huge volumes of images. Let’s say, someone searches for a T-shirt. Your store might display thousands of product images from different brands and styles. This is the nature of eCommerce, especially in fashion. Yet, tagging fashion attributes manually for these products can feel like a never-ending task. 

What if you could make this process easier through automated image tagging? This way, you wouldn’t need to update product information constantly. But people can still find your products through different keywords. 

Image tagging, or photo tagging, is powered by computer vision. It employs deep learning models to analyze every pixel of an image. It thus is capable of recognizing which elements appear in a photo. In terms of fashion, this technology can detect details such as colors, shapes, patterns, vibes, and even emotions. 

How Photo Tagging Optimizes eCommerce Site Search?

Let’s take an example. When you upload the photo below, the computer vision will detect and describe what it can see. 

It can recognize objects: a shirt and jeans. It can also detect fashion attributes like colors, patterns, collar design, hand style, waist design, overall vibe, etc. The system will then generate relevant keywords or content tags, such as:

- Black

- Solid

- Square neck

- Long sleeve

- Slim waist

- Casual

- Minimal

A collection of these content tags forms the foundation for product descriptions. 

And the best part? This whole process is fully automated. 

For some sites, image tagging is still a manual task. Their in-house merchandising or eCommerce team typically handles it. They rely on brands and third-party vendors to provide tagging information. Then, they will be responsible for cleaning up and organizing the tags. However, with human input, mistakes can occur. That can lead to missing or incorrect tagging.

Automated image tagging eliminates these human errors. Thanks to that, it can ensure consistent and accurate product tagging every time. This functionality makes photo tagging invaluable for improving eCommerce site search.

Why is YesPlz AI Image Tagging the Perfect Fit for Online Fashion Retailers?

Fashion eCommerce is unlike any other industry. It’s fast-paced, trend-driven, and deeply visual. For this reason, accurate fashion tagging technology is essential to enhance product discovery for your online stores. Understanding the nature of the fashion industry, YesPlz AI has developed the technology that helps:

- Enrich product information

- Improve search results

- Categorize products

- Generate relevant product recommendations

Below are two competitive edges you can get from YesPlz AI image tagging.

Fashion-specific Tags that Match Shopper Behavior

At YesPlz AI, we focus on delivering high-quality, accurate, and fast tagging. Through user interviews, we identify key fashion attributes that matter to real fashion shoppers.

Our eCommerce site search uses smart technologies to make shopping easier. We’ve combined three key technologies:

- Computer vision

- Natural language process (NLP)

- Trend AI agent

These work together to understand products better, both in words and pictures. This means when customers search, they're more likely to find exactly what they're looking for, without frustrating "no results" pages. 

Curious to learn more about our process? Check out What makes YesPlz image tagging different. 

The Technology that Gets Better Over Time

The best part of YesPlz AI image tagging? Its ability to continuously improve with use. 

As it processes more images, it can identify patterns, understand nuances, and adapt to your store’s unique needs. For instance, someone searches for new trending terms like “demure looks” or “quiet luxury.” YesPlz can learn from these searches and incorporate them into its tagging suggestions. 

This constant learning makes the tags more accurate over time. Your product search improves, and customers find what they need faster. Best of all, it keeps your store up-to-date with trends and ahead of competitors.

Want to enhance your eCommerce site search technology to the next level? Feel free to book a demo with us. 

Schedule a demo today