Fashion AI
case study
How 3 retailers nearly doubled their average cart size?
W.Concept Challenges
- Quickly growing catalog
- Limited resources
- Lack of custom solution providers
W Concept was growing fast, but their growth created a set of challenges. They needed a customized search system to keep up with new products and to keep shoppers engaged.
Other solutions W Concept looked at were too slow, not customized enough, difficult to integrate, lacked accuracy, and lacked the overall sophistication a fashion-forward brand like W Concept needed.
Mannequin
Filter
The Virtual Mannequin Filter uses a mix of visual search and fashion AI, so W Concept shoppers receive accurate, instant search results. The design is UX-friendly, visually-focused, and easy to navigate.
Product Recommend
ations
YesPlz fashion recommendations showed off W Concept's large catalog with both collaborative and similar recommendations. For similar recommendations, AI matches the key design attributes to products, then matches the recommendation against vibe/occasion, creating the perfect recommendation. Collaborative filtering builds off similar recommendations, solving any cold start problems.
Enhanced
Site Search
W Concept shoppers don't need to know the exact keywords that match a product description. By using fashion AI to tag W Concept's product catalog, which are then automatically added to search results, shoppers see more search results that match their search intent. Automated popular keywords, integrated product previews, and a mini-filter help guide W Concept shoppers along the discovery journey.
Results
1.7X
Increase in
average cart size
50%
Successful
search exit rate
Previously unsold
items generating sales
10%
Increase in average
Cart Values
The
Handsome
Challenges
- Cold start problem
- Quickly growing SKU
- Biased brand preference
Kolon Mall’s most pressing challenge was making the right recommendations to the right customers. Customers get irrelevant recommendations that don't match the product category and the key style attributes to the selected product.
With new SKUs added daily, Kolon Mall was unable to supply rich product descriptions in a timely manner for its ever-growing inventory of SKUs and to find the proper words to describe their unique designs in the way customers would understand or search for.
Mannequin
Filter
The Virtual Mannequin Filter empowered The Handsome shoppers to find the silhouettes and product attributes they love, without having to navigate difficult-to-use search filters. Shoppers can now filter by silhouette, occasion, as well as pattern & color, on an easy-to-use virtual mannequin.
By tapping into the visual nature of shopping, we've unlocked more shopper engagement and made their search experience seamless.
Fashion
Quiz
The Handsome shoppers discover their unique personal style with the YesPlz Fashion Quiz, by swiping "yes" or "no" on styles. Then, they get real, tailored and relevant product recommendations based on their selections.
Results
Coming Soon
We just launched our product and looking for the results.
We’ll keep you updated.
Kolon Mall Challenges
- Quickly growing catalog
- Limited resources
- Lack of custom solution providers
Kolon Mall is one of the top 3 fashion powerhouse websites in Korea.
Kolon Mall’s most pressing challenge was making the right recommendations to the right customers. Customers get irrelevant recommendations that don't match the product category and the key style attributes to the selected product.
With new SKUs added daily, Kolon Mall was unable to supply rich product descriptions in a timely manner for its ever-growing inventory of SKUs and to find the proper words to describe their unique designs in the way customers would understand or search for.
Another challenge was biased brand preferences, with site visitors tending to search for familiar brands and remaining unaware of the many other selections available to them.
Product Recs
Anywhwere
Don’t limit the product recommendations into a product detail page. Place along your customer’s journey and help discover their styles along the way.
Kolon Mall smartly place the product recommendation from the product detail page to the shopping cart increasing conversion rathe furhter.
Results
15%
Additional sales
generated
14%
Immediate conversion
spike at checkout
Previously unsold
items generating sales
10%
Increase in average
Cart Values
Cold start problem
solved
Ready to transform your product discovery experience with YesPlz AI?
Let’s talk about our deep tagging tech and how we power the tagging to prebuilt widgets. We love collaborate with fashion retailers to utilize our fashion AI to help create their unique discovery experience.
