Automate Social Trend Mining and Product Tagging Using Trend Hunter AI

In business, “trend” is always your friend. However, trends will eventually become tacky and outdated. The only way to take advantage of a trend is to jump on the bandwagon before everyone else does. 

Keeping up with trends especially for fashion is challenging and requires extensive research. AI can be a powerful tool, especially one designed specifically for fashion. 

How does it work, and what benefits does a fashion AI offer to your store as far as trends are concerned? 

Key Takeaways

• Trend Hunter automates social trend mining process for fashion retailers

• AI helps retailers keep up with fast-moving trends

• Social media trends are spotted and added to your catalog automatically

From trends mining to tagging to automation, an AI fashion trend forecasting tool can deliver everything you need to increase your sales, improve customer experience, and reduce the cost of manual labor.

But before we look into the solution, let us try to understand the underlying problems with manual tagging and social trend mining.

Reasons to Automate Fashion Trend Discovery with AI

It takes years for someone to have a deep level of fashion expertise, which means that it’s not only the hours of manual work one has to worry about, but also the depth of knowledge of the store manager. 

AI can do both. It can perform automated fashion trend hunting at a faster pace and reduced cost. 

Pain Point 1: Trend Discovery Happens in Real-Time

Trends take off so fast that you may not know they have already come and gone. It takes only one celebrity to wear something new, and the rest of the world will catch on to it. 

You can only catch any fashion fever if you consciously make the effort. However, you may be inundated with other work, so some trends go unnoticed. 

Before you know it, your competitors are all over this trend, but you are not. You may attempt to sell what you think is a trendy item, but then you realize that this trend’s peak is over. You are late for the party. 

Instead of relying on human effort, why not pass this task to AI? An AI built for fashion trends does not miss out on anything. Your fashion store will not be left behind because the AI consistently scours the internet for trends.

Pain Point 2: Hunting for Trends Is Manual Work

Manual work is the bane of all businesses. It is costly and tedious, so the wisest thing to do is to automate any process that technology allows. 

Traditional trend mining techniques: 

• A team member scrapes data from social media like Instagram

• Trending keywords are identified and influencers are reviewed.

• The keywords are entered into Google Sheet

• These keywords are then mapped to your products

• All steps are performed manually.

All these tasks, put together, yield impressive results for research, but at what cost?

What if you could use an AI fashion insights platform to do all the hunting? The AI does the manual work while you focus your time and effort on the execution of your marketing plans. 

Pain Point 3: Converting Trend Ideas to Action Takes Days

After identifying a fashion trend, the next step is to tag all your products that belong to that trend category. 

For example, if the trend is Barbiecore, you need to identify its main characteristics, such as: 

• Hot pink

• Mini-dress or preppy skirt

• Glitters and sparkles

• Miniature bags

After this, it is time to go through your entire catalog, look for any hot pink product or anything that meets the Barbiecore conditions, and tag them as “Barbiecore.” 

Or, you can create a new category for Barbiecore and assign all related products to it. 

It’s not hard to picture how much manual work is required to do all this. What if you have over 50,000 products in your catalog? Do you have to review each one? 

The solution is software, and not just traditional software, but a fashion-savvy AI specifically designed to understand and adjust according to trends, one that will manage your product catalog automatically.

Pain Point 4: Traditional Fashion Trend Automation Is Ineffective

Although there is an automated way to handle trend hunting and product tagging, most of these methods are unresponsive to social changes. 

They do not offer any personalized or trend-responsive recommendations at scale. 

AI fixes this challenge, not only because it is fast and accurate, but also because it learns new things on its own. 

A fashion forecasting software can detect social media buzz and consumer behavior. From here, the AI will adapt to trend changes, making the store more effective in delivering consumer expectations. 

How AI Automates Fashion Trends for E-commerce 

1. AI Understands Fashion Trends

Fashion trends can be sudden or gradual. There is no telling how it will happen. A fashion show in Milan can spark a sudden change. A music video of a celebrity does the same. 

AI keeps up with these trends, and it applies what it has learned to the e-commerce store’s backend. Since the AI has human-like insights into what is happening, it can also: 

• Work beyond usual tagging

• Use an image to tag products

• Understands fashion nuances (occasion, vibe, design, pattern, color, etc.) 

Conventional tagging is limited to basic descriptors like type or color of clothing. A fashion AI can go further. For example, it can automatically identify products based on trends like ‘Bermuda pants,’ ‘old money,’ etc. 

The AI does this all from the product image. In addition, the AI can determine the particular occasion, style, or vibe the fashion product is suitable for, such as: 

• Night Party 

• Formal Attire

• Sports Attire

• Elegant 

• Casual 

• Italian Style

• Street Style 

The result is a store that has all these fashion nuances, thousands of them, without the need for direct human activities. In short, the fashion AI will do all the work for you. 

2. AI Extracts Fashion Trend Data from External Sources

Manual data analysis takes forever. By the time you are done skimming through Facebook, Instagram, and other social media platforms, a new trend may have already emerged. 

AI for fashion trend analysis is the key to keeping abreast with all these changes. It can analyze data from social media, automate data curation, and make appropriate changes to your product catalog.

What does it mean for your fashion business? 

Well, if Chiara Ferragni and her dress are trending on Instagram, the AI will know it. If Francesca Ferragni’s shoes are trending on TikTok, the AI will know it.  

More importantly, the AI can collect trending keywords or buzz in social media circles. If the characteristics of these trends match your products (based on your product image), the AI will tag the products accordingly. 

So, if the search term “boxer shorts” is trending now, the AI will identify which of your products is a pair of boxer shorts and tag it that way.

3. Use Cases of Trending Keywords Tagging

Fashion store managers need to tag products one by one. Tagging lets a store system know which product belongs to what search terms, and which products go to a specific filtering category. 

Again, this is too manual. More work hours are needed if a trend emerges, and rework is necessary time and time again. 

A fashion trend detection tool will reduce this workload for you. The AI, after analyzing fashion trends and words, can scan your product catalog and then automatically tag them all. 

These tags work for the search and filter functionality of your store, making products visible based on new search terms.  

In this screenshot, the AI automatically tagged the product with the word “boatneck.”

At the front-end (user interface), if a customer types “boatneck” in the search box, all products that have a boatneck neckline will appear in the search results, even if the product titles do not have that keyword. 

The automated tagging process can greatly streamline your business workflow. 

If the fashion AI catches on to a new trend on social media, it will apply the new tags to all relevant products. 

A fashion AI also offers a feature called Complete the Look. It is a type of product recommendation where:

• The AI analyzes the current item the shopper is looking at

• The AI searches your product catalog for complementary products 

• The AI recommends these products to the shopper

Summary 

YesPlz Trend Hunter is a sophisticated AI that can do all the features shown above. It can analyze social media pages, identify trends and buzzwords, incorporate its findings into product catalogs, and, more than anything, it streamlines the entire process for your eCommerce. 

If catching a fashion trend is one of your priorities, AI can be a great tool for streamlining this process. Our Trend Hunter is the solution you need. Interested? Contact us for a live demo!