Ready to future-proof your product discovery? Learn how the 2025 fashion tags can transform your eCommerce store revenue before your competitors do.
by YesPlz.AIMarch 2025
The eCommerce market has never been more cutthroat. In 2024, 27.2 million online stores competed for the attention of 2.71 billion online shoppers. In fashion, standing out is even harder. Great products alone won’t get your eCommerce store noticed. The real challenge for online fashion retailers isn’t just selling - it’s being FOUND. That’s where fashion tags come in. For years, this technology has been quietly working behind the scenes in every eCommerce store.
A rich tagging system helps shoppers cut through the noise of endless products. However, not all tagging systems are created equal. Without precise, detailed tagging, shoppers get frustrated, carts go abandoned, and retailers lose sales. Can shoppers easily find what they need in your online fashion store? If not, it’s time to rethink your tagging strategy.
To understand the direct link between fashion tags and product discovery, consider this scenario. A shopper knows exactly what she wants. She is looking for a dress with three specific fashion attributes:
Sleeve Type: Short
Neck Type: Square
Pattern: Floral
So, she enters into the search bar: “short-sleeve, square-neck, floral dresses."
Your store has dresses in stock matching this exact search term. But what if their titles, descriptions, and tags mention the floral pattern but lack one or both of the remaining attributes?
These perfect matches will never appear at the top of search results. Instead, the shopper might see:
Floral, short-sleeve dresses with round or sweetheart necklines.
Floral, square-neck dresses with long or 3/4 sleeves.
Or any floral dresses in stock.
The result? The shopper must scroll endlessly to find her perfect match. She might then mistakenly believe that your store doesn’t have short-sleeve, square-neck, floral dresses. So, she leaves your site empty-handed. And online fashion retailers like you lose a sale that was yours to make.
Obviously, seamless product discovery starts with rich, accurate data. Yet, why does poor product data persist in fashion eCommerce?
Before the invention of automated tagging, retailers had to tag every product manually. The process is labor-intensive, time-consuming, and inconsistent. This challenge is especially significant for fashion retailers who manage large, constantly updating inventories.
Manual tagging often results in errors due to inconsistencies in human judgment. For instance, we use open-source datasets like DeepFashion as benchmarks to evaluate the accuracy of tagging. As shown below, manual tagging can lead to errors, such as a cold-shoulder dress being mislabeled as a strap dress:
Or, a maxi-length skirt could be tagged as both mini and maxi:
While human tagging can be generally accurate, these inconsistencies lower product data quality. For this reason, most fashion retailers lack sufficiently rich product data. The impact on sales can be direct, as seen in the floral dress example.
Recognizing this industry-wide pain point, YesPlz AI took a systematic approach. We interviewed hundreds of end users to learn:
How do shoppers perceive each fashion attribute?
Which ones matter most in their shopping decisions?
For example, our research revealed that waist fit is a key factor in buying a dress. Shoppers often consider this attribute along with others like neckline, skirt length, and sleeve type. By analyzing these insights, our team identified a consistent pattern in how shoppers define waist fit types.
Based on this data-backed research, we developed AI models to recognize the style of each fashion item type. Our objective has been clear from the start. Leverage AI to transform fashion tags in three aspects:
SPEED: Quicken the entire process
ACCURACY: Eliminate human error
DIVERSITY: Enrich fashion attributes
To be honest, our first model wasn’t perfect. We carefully defined the key fashion attributes that matter to shoppers. However, fashion retailers need more than we initially provided. Plus, trends are constantly evolving, requiring frequent updates to stay relevant.
Yet, the problem is adding tags couldn't go on endlessly. We need to balance the tradeoffs between cost, time, and the complexity of our machine-learning process. These limitations seemed unavoidable until our recent breakthrough changed everything.
After deep research and testing, 2025 witnessed the breakthrough of YesPlz AI fashion tagging. Our team integrated multiple AI models to support various tagging types with high accuracy.
Need a "mermaid fit," "sweetheart neckline," or "horizontal stripes?" These fashion attributes are now parts of our 2025 tagging system. Before, we had to say no to these attributes because not all retailers needed them. But with our latest breakthrough, that’s no longer a problem. YesPlz AI now tags hundreds of fashion attributes. Plus, we now support customized tagging tailored to retailers' specific needs.
So, what’s new in the 2025 YesPlz AI fashion tags technology? Let’s dive in.
Do you know which fashion attributes matter to shoppers? How many tags a fashion item can have?
Our interviews with online fashion buyers helped us pinpoint core attributes that improve product discovery. Take this short-sleeve, square-neck, floral dress as an example.
YesPlz AI can tag everything, including:
Types: tops, pants, dresses, skirts, knits…
Length: Long, short, knees, midi...
Pattern: Floral, horizontal stripe, checker…
Color: Orange, blue, dark, pink, green…
Sleeve Type: Short, long, cami, elbow, ¾…
Neck Type: Sweetheart, v-neck, round…
Waist: Mermaid, regular, loose, fitted…
Vibe: Romantic, vintage, chic, trendy…
When a fashion item is tagged with rich attributes this way, shoppers will find it easily.
How fashion tagging can help your eCommerce
Details about the fashion tagging process
A thorough list of product attributes YesPlz can tag
More resources about fashion tagging and fashion AI
What sets the 2025 YesPlz AI fashion tagging apart from the previous years? The big difference is customization. Every online fashion store has a unique style that differentiates them in the market. So now, we can support tailored tagging for each retailer. Previously, computing power limitations made this impossible. Yet, this barrier is gone.
Our latest technological advancements allow us to customize tagging to fit your brand identity. Whether it's silhouette, pattern, occasion, or vibe, our system can support nearly any attribute that matters to your business. This flexibility ensures your product catalog is always aligned with your brand’s unique identity.
Through our interviews with online shoppers, we found that shoppers don’t always search by:
Specific product titles: Flower dresses, denim jackets, black pants…
Categories: Tops, skirts, jackets & coats, shoes, accessories…
Instead, they search for fashion items that fit their mood, occasion, or personal style. Something like:
I need something for a beach wedding.
Show me edgy office outfits.
Manual tagging only captures basic product details like gender, categories, color, size, etc. But shopping isn’t just about specifications. It’s about how an item feels and when it fits into someone’s life. That’s where YesPlz AI’s thematic tagging makes a difference. It allows shoppers to explore products based on:
Occasion: Beach, comfy, festival, formal, night out, off duty, work…
Vibe: Boho, feminine, minimal, romantic, business, casual…
With thematic fashion tags, a black drawstring skirt isn’t just a skirt. It’s feminine, party-ready, or night-out perfect.
Not all product images are picture-perfect. Some have busy backgrounds, unique angles, or artistic edits. Every brand has its distinct photography style whether it's model shots, flat lays, ghost mannequins, or lifestyle images.
YesPlz AI has been trained on millions of fashion data points to recognize and adapt to all these variations. Our AI understands fashion in context, ensuring accurate fashion tags regardless of the image style.
On a model or off-model? We get it.
Minimalist backgrounds or editorial shots? No problem.
Unique brand aesthetics? Our AI adapts.
Leave it to YesPlz AI to handle image complexities. Your catalog will stay organized and searchable, no matter how your products are photographed.
Our deep tagging API is designed for flexibility and scalability. It’s easy to integrate with your existing systems without disrupting operations. Whether you run a small boutique or a large-scale marketplace, our API grows with your business.
This system eliminates the need for manual data entry. So, you can save time and resources to focus on strategic growth initiatives. At the same time, you benefit from richer product information as it powers filtering, recommendations, navigation, and personalization.
The results?
Better product discovery.
Higher user engagement.
Smoother shopping experience.
Our pricing model gives retailers the flexibility to scale without overspending. You only pay for the SKUs you tag each month. It is a cost-effective solution for businesses of all sizes.
No upfront commitments: Start tagging without heavy investment.
Scale as you grow: Pay only for what you need, when you need it.
High-quality tagging as always: Get accurate, AI-driven fashion tags at an affordable cost.
Fashion tags are a powerful differentiator for online fashion stores. This underlying tech can outperform even the best marketing campaigns. It boosts sales, improves product discovery, and enables personalized recommendations. All these benefits strengthen fashion retailers’ bottom line.
YesPlz AI transforms fashion tagging completely. Our benchmarks prove that AI now exceeds human accuracy in tagging.
We now offer higher-quality fashion tags at much more affordable prices. Ready to boost your product discovery and sales?
Schedule a free 30-minute demo today to see how YesPlz AI can transform your fashion eCommerce business in just 30 days.
Written by YesPlz.AI
We build the next gen visual search & recommendation for online fashion retailers
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