YesPlz.AI, April 2023
Finding the perfect pair of shoes online is not easy. With new, trending styles popping up all the time, it’s difficult to keep up with the latest terminology.
With the Virtual Mannequin Filter, a revolutionary tool that transforms shopping into an interactive experience, you can easily filter by your shoe preferences (for example, by heel height) on a mannequin. Then, receive instant search results that match your parameters.
We’ll walk you through how to use the Virtual Mannequin Filter to find any pair of shoes, under different scenarios.
The mannequin filter is the most intuitive way for shoppers to filter their search results. By using a visual cue, shoppers can easily identify the different shoe styles they want, and then customize the design.
The design of the mannequin filter is different based on the shoe category.
In the example above, a shopper sees a sneaker with different labels for product attributes.
Shoppers see a virtual mannequin model in the shape of a shoe, and have filter options for “bottom, toes, and neck” of the shoe. A purple arrow invites the user to click to filter each product attribute. Each click brings different product attribute details to filter by.
Simply click on the “pointed toe” image to filter by pointed toe boots, or click on the product attribute category “toes” to filter by toe-type.
It’s as easy as clicking the product attribute and turning it on or off.
In just a single click, you can change the toe-type to square, without needing to type in or know any “fancy” fashion terminology.
Hundreds of square-toe boots are now ready for you to shop.
Shoppers can easily customize their shoe preferences by selecting and deselecting filters, as well as building filters on top of each other.
Now we have a square toe, low block heel, tall pair of boots in just a few clicks.
Again, we see the virtual mannequin filter, but this time, designed for a pair of pumps.
With the same intuitive process, it's seamless to filter for any shoe type and product attributes.
YesPlz also offers color filters with easy-to-interpret color chips, so there’s no confusion when filtering.
And make sure the foot is secured with a “strap”.
Here are the results:
Occasions are hard to identify, but by putting different product attributes together to determine the criteria for an occasion, it’s easy. We interviewed real shoppers to see what they define as a “night out” occasion and then used AI tagging to apply shopper feedback.
Fashion taxonomy is constantly changing, leaving shoppers wondering about the latest fashion terminology and unable to keep up. By using fashion visual search to tap into shopper mindsets, we can eliminate confusing taxonomy to make sure we all speak the common language of fashion.
The Virtual Mannequin Filter offers visual cues to guide shoppers, nudging them to explore more filters, and to explore all product attributes. The small icons beneath each product attribute category also helps to eliminate any confusion.
Shoe shopping is overwhelming with just text filters; there are too many options, leaving shoppers feeling overwhelmed and frustrated. Long lists of text filters also make shoppers feel that the filter experience isn’t curated, which doesn’t match the elevated product discovery experience that many brands want to offer.
The Virtual Mannequin Filter is made possible by combining computer vision and natural language processing to quickly and accurately tag product catalogs. YesPlz’s computer vision can identify product attributes in all types of image quality, making it easy to integrate an existing product catalog with the Virtual Mannequin Filter.
Make the shoe shopping more experiential with the Virtual Mannequin Filter, and start converting more shoppers today.
Schedule a free 20-min demo to learn more.
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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