Jess Erdman, May 2023
Blue, patterned daytime dress? ✔️
Short, sequin party dress? ✔️
A v-neck cotton maxi dress for hot summer days? ✔️
With the help of the Virtual Mannequin Filter, finding dresses based on silhouette, vibe, and design has never been easier.
The Virtual Mannequin Filter is a revolutionary tool that transforms online shopping into a seamless and enjoyable experience, by catering to the user's specific requirements and preferences.
Shoppers use a virtual mannequin, and click to filter their preferences to find the exact product they are looking for, whether it be a sequin party dress or a specific color maxi dress.
Product attributes are also available as a drop-down menu with visually-attuned icons to select.
We’ll walk you through how to find the perfect dress using the Virtual Mannequin Filter.
You’ll see a different mannequin depending on which product category is selected.
Since we’re looking for dresses, the shopper will see different product attribute labels on a dress, including: neckline, sleeves, length, and style.
Click on the virtual mannequin to filter options, or check out the visually-enabled icons to easily scan and find the neckline you’re looking for.
The best part? Once you select a product attribute, dynamic filters are applied, so you’ll never be left with zero search results, and can easily see how many results are available.
You’ll see a preview of the number of search results, so there’s no surprises.
And with one click, you’ll see the instant search results.
With just one more click, we can change the neckline from “high” to “v-neck.” Results instantly update based on the selection.
Select short sleeves, and see short sleeves. And, with automated AI tagging, there’s no confusing names for product attributes, so everyone understands.
Depending on the product category, shoppers will see different product attributes to filter by. We determined through user interviews that shoppers prefer to filter by silhouette, and made sure to tag for these at the product level.
Shoppers can see the color chips to take away any guesswork about what a specific color name means–so no more confusion about the difference between “baby blue” and “light blue”
Now that we have a blue, midi, short-sleeve dress, let’s also add a pattern to find the perfect daytime dress:
Similar to the color options, shoppers can quickly select their preferred patterns with visual cues.
Shoppers can also filter based on theme or occasion, making it a breeze to find dresses for a specific occasion.
Long lists of text filters are not the best way to help shoppers find exactly what they are looking for.
With the ever-evolving language of fashion, terminology changes, and it can be difficult to keep up with retailer terminology for each product.
For example, what constitutes a cold shoulder versus off-the-shoulders top? Each definition depends on the shopper and the brand, making search more confusing than helpful.
The Virtual Mannequin Filter gives shoppers the freedom to filter without needing to get caught up in fashion terminology. With visual cues and icons, shopping can be delightful and intuitive.
Because shopping in visual in nature, shoppers benefit when there are visual cues to guide them along the way.
And, everyone benefits when the average cart size is increased by 1.7x (recent studies from clients) with the Virtual Mannequin Filter.
The Virtual Mannequin Filter is an essential way to keep shoppers engaged throughout the eCommerce product discovery journey.
Dynamic search filters make it easy for shoppers to quickly filter through product attributes. We use them in the Virtual Mannequin Filter to make it clear when a product attribute is unavailable based on previous filter selections.
For example, if a shopper selects a certain silhouette, she will see a grey-out for unavailable product attributes.
We want shoppers to be able to filter quickly, without wasting any time, and dynamic filters (powered by AI) are the best way to support shoppers’ journeys.
Faceted search navigation is a must-have for effective eCommerce product filtering. If a shopper selects a “v-neck” and a “midi-length” she wants to see both of these product attributes.
YesPlz tags product attributes using fashion-trained AI, to make the search process easy–and to ensure that full retailer product catalogs are shown in search results.
Product attributes are tagged based on key product attributes that shoppers care about: silhouette, color, pattern, design, material, and theme/mood.
YesPlz occasion tagging for retailers has included:
Are you curious to learn more about the Virtual Mannequin Filter?
Virtual Mannequin Filter- Tops Tutorial
Virtual Mannequin Filter- Boots Tutorial
Despite the importance of good quality product discovery for eCommerce, there are still challenges that keep retailers from creating superior discovery experiences. In this article, we share 3 tips on how to use fashion AI to boost product discovery for eCommerce.
Dynamic filters separate a good eCommerce product discovery experience from a bad one. With shopper expectations at an all-time high, dynamic filtering’s benefits are clear: increased conversions and more intuitive experiences. But, creating dynamic filters can be a complex and laborious process. We explain how they can improve your eCommerce product discovery and how to implement them.
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