by YesPlz.AIJune 2025
AI is the new black in the fashion e-commerce industry, and it not only helps fashion retailers improve on cost but also improves their sales.
How?
Through the use of a next-gen product discovery fashion AI called YesPlz, an advanced AI that integrates with any online store. It provides fashion recommendations like store clerks do in a brick-and-mortar shop.
In this article, we will help you understand how YesPlz can reshape and improve your fashion business.
Key Takeaways:
You can personalize your shoppers’ experience with YesPlz
YesPlz can help you eliminate a lot of repetitive work, like product tagging
You can increase your revenue by 15% with the use of YesPlz
If you are ready, let us begin!
An AI styling agent is a collective term used for fashion recommendations. It is a machine that continuously learns the following things:
Fashion in general
How to style
Fashion styles for various occasions
What a shopper is looking for
Trends in the fashion industry
With all this information combined, the AI styling agent can make personalized and trendy suggestions based on a shopper’s preferences.
In addition, it works by recognizing images and text in the context of fashion styles. The suggestions can be occasion-based, similar, or complementary to the shopper’s wishes.
Most AI applications for fashion are targeted towards the users or customers, not e-commerce store managers or retailers.
Typically, a shopper has to install a fashion AI app, then ask it for fashion advice. Then, the user has to search online for clothing that the AI recommended.
So, why not offer an AI stylist on your website? It is an added free service that your shoppers will appreciate. In a nutshell, here is what happens:
Customers visit your e-commerce fashion store.
She is looking for an outfit for a dinner party she’s attending in a few weeks.
Feeling lost, she starts chatting with the YesPlz AI Stylist, asking for recommendations.
The AI stylist shows tops, pants, dresses, and shoes that match her special events.
The customer checks out the recommended products and clicks the add-to-cart button, and buys your products.
Here is an example of a simple conversation with the AI stylist:
As you can see, the user is asking for a “K-pop inspired outfit.” The AI stylist responded with images of clothes that the shopper can choose from.
The YesPlz AI styling agent for fashion is personalized, which means it will not just randomly pull products from your inventory database. Instead, the AI will match what the customer is particularly looking for.
Do you know how hard it is to spot a trend? Usually, the trend is at its peak, or it is over, before you even know it is a trend. By this time, the trend is at a downward slope, and you are too late to join the bandwagon.
In this case, it makes no sense to add products to your inventory because you won’t sell a lot of them. But what if you spot the trend before its peak?
As a marketer and fashion store owner, you need to know what is hot and capitalize on it before the trend fizzles.
The problem? Time and effort. You almost always do not have both.
The solution? YesPlz fashion AI.
As you can see from the screenshot above, you can catch trends based on:
Location (example: Seoul, LA, Paris, etc.)
Trending keywords and matching styles (example: boxer shorts, oversized shirt style, crop shirts, etc.)
After you select a style, the AI will curate products that match these trends. It is now up to you to find suppliers for these items. What matters is that they are all hot and trendy right now, and that you are one of the first to sell them.
Many shoppers buy clothes that match a specific occasion, like Christmas, office party, winter wear, sporty events, etc.
Why? Because the last thing anybody wants is to commit a crime. Yes, fashion faux pas is a crime against humanity.
As an e-commerce store manager, you must create categories for each occasion and show these categories as drop-downs that the shopper can use. This helps a shopper narrow her search.
So, what is the problem? Well, this entire process is cumbersome, to say the least. The traditional way of making this happen is by:
Looking at each clothing
Deciding if this clothing is for sports, Christmas, a formal event, a wedding, etc.
Tagging the product in the backend of your store
Assigning the product to a specific category
And yes, you must repeat this process for every product you upload to your store.
With YesPlz AI, you no longer have to do all that. All you need to do is create the categories, and the AI will automatically assign each product to a specific occasion.
Once a customer clicks on an occasion, the AI will show all the products that fit the occasion type. Below is an example.
In this demo, the shopper clicks on WORK. At the backend, the AI will go through the store’s entire product database and then show all clothing products that the shopper can use for work. Here is a screenshot:
It is important to note here that there is no manual tagging or product categorization involved. Instead of having a human resource categorize each product under “WORK,” the AI does it all.
How? The AI looks at each product image and decides if it is work clothing, sports clothing, etc. It does not just rely on words in the product title or description. What it does is eliminate long hours of repetitive tasks, helping you save time and, more importantly, money.
YesPlz’s AI styling agent does not pull random products to show to a user. It takes into account what we call a cohesive fashion statement.
The result? The customer’s outfit is fire.
So, if a customer is buying a collared flannel shirt, the AI will recommend a hat, a pair of jeans, and even boots for a cowboy look, provided they are in your product catalog.
If not, the AI will recommend other clothing and accessories that pair best with the collared flannel shirt.
In the screenshot above, the customer is merely shopping for a pair of jeans. Yet, the AI is showing him three items that he can pair the jeans with.
These items are:
A sweatshirt
A pair of white sneakers
A leather shoulder bag
Just imagine if you have this powerful fashion AI in your store, and the customer says, “Alright, I will buy all these four items.”
Instead of making only $85 for the pair of jeans, you also earn:
$226 for the sweatshirt
$250 for the sneakers
$97 for the leather bag
All these four items total $658 instead of just $85, giving you 674% more in sales!
It looks like this:
This feature not only increases your revenue, but it also develops a shopper’s confidence. If he follows this advice, and his friends say that his outfit is impeccable, he will certainly come back to your store to buy more.
If you have ever shopped on Amazon, you would have seen the “You Might Also Like” section. It looks like this:
Many stores now implement the same marketing technique. You can hire a software developer to do this, or simply install an app or a plug-in.
The problem with this approach is that the recommended products are usually static and require manual input. It means that the store manager has to select specific products to appear on specific pages.
Say goodbye to this dull recommendation because the YesPlz AI is dynamic. The products under the “You Might Also Like” section are carefully selected by the AI based on the apparel’s style or characteristics.
So, if the shirt a customer is looking at is blue with a collar, the AI will scout the product database for other similar shirts—blue or with collar—and recommend it to the shopper.
The products in the “you might also like” carousel will change over time, without the need for human interference.
Marketers make it a point to have a “Frequently Bought Together” section in their stores. Again, this is highly similar to what Amazon does, like this:
The purpose of this feature is twofold:
Increase average order value
Dispose of inventory
Frequently Bought Together (FBT) is an AI-powered analytics tool. It uses the principle of collaborative filtering, which means it collects data from shoppers who have made purchases in the past.
Then, the AI analyzes the data to predict and recommend products to new shoppers with similar fashion styles. All these recommendations are highly relevant because they are data-driven.
However, there is one problem: the cold start.
What if the product is new? There is no data for it because it has just launched, so how can your store recommend a “frequently bought together” item under that product?
YesPlz solves this problem by determining two things:
Behavior-based data
Content-based recommendations
Then, the AI does these:
Analyze the two factors above
Goes through all the products in the catalog
Decides if the product, based on the image and styles, is a good match
Recommends a product to the shopper under “Frequently Bought Together”
This hybrid approach is what puts YesPlz AI a few steps ahead of the traditional “frequently bought together” solutions.
In essence, YesPlz AI completely gets rid of the cold start problem. And as it does that, it also consistently studies shopper behavior without being intrusive on a person’s privacy. All these processes run in the background anonymously.
The result? More effective product suggestions that drive an average 5-6% conversion rate improvement.
Have you ever observed chocolates and batteries at the counter of grocery stores? They are on display not for decorative purposes, but because the grocery operator wants you to buy them.
You can apply the same marketing principle to your online store (show products while checking out), but you can only do that with an advanced fashion AI, like YesPlz.
YesPlz offers discovery solutions that will recommend products to your customer before she completes the checkout, and this opens new opportunities for more sales.
What is unique about the YesPlz shopping cart recommendation? The AI recommends products based on the items in the shopper’s cart. It is not random or statically programmed. These recommendations are personalized—they are different for each shopper.
YesPlz is a powerful AI that knows fashion like human beings do. Its core function is to understand fashion standards, trends, style, harmony, occasions, color, material, and so much more.
At its core, YesPlz AI “looks” at images and makes decisions based on what it sees. So, if it sees an image of a collared shirt on the product database, it is intelligent enough to decide if the shirt is for work, golf, smart casual, etc.
Another core functionality of YesPlz AI is tagging. Since the AI can assess the kind of clothing it is looking at, it can tag the products in various ways. Below is an example:
The image above is a backend view. Only the store manager has access to this info. As you can see, the AI automatically tagged this product based on color, occasion, length, gender, and so much more.
Product tagging is a resource-heavy process, but it is an absolute necessity. In addition, it is too manual and prone to error. With YesPlz, you can say goodbye to this repetitive task.
Here are some of the things our AI product tagging can do:
Automatically detect and tag the product type from a single product image
Create tags based on attributes such as color, type of clothing, material, etc.
Tag the product based on occasion (work, night out, vacation, workout, etc.) and vibe (romantic, chic, minimal, hype, etc.)
Normally, you would need additional resources to do this. With YesPlz fashion AI, you do not need all these—just imagine how much you can save on time, cost, and effort!
An “AI fashion stylist” is a machine that helps people find the right clothing. The AI makes clothing recommendations based on the user’s search intent or questions.
Yes, many companies integrate fashion and AI, but most of them are personal apps. YesPlz is the world’s first AI styling agent that can be used in an e-commerce store.
The typical AI stylist for free online cannot be integrated with online stores because they are not made for businesses. YesPlz is different in the sense that it is built for e-commerce fashion retailers, and it integrates with online stores on various platforms.
The best AI styling agent for fashion is YesPlz. It is the most innovative artificial intelligence clothing app built for fashion store managers.
AI is changing the business landscape. You need to keep up with it, or your store will get left behind. At this time, what we highly recommend is that you go to our site and schedule a demo.
Pick a schedule from the calendar, and we will show you how YesPlz fashion AI can power your store and reach its full capacity!
Written by YesPlz.AI
We build the next gen visual search & recommendation for online fashion retailers
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