StyleVue

Name: StyleVue Introduction Video
Uploaded: 2024-04-05T07:15:03Z
Duration: 1 min 33 s
Description: Reduce returns by recommending correct size to customer

StyleVue

Develop by Shopify

Free plan available

Reduce returns by recommending correct size to customer

Accurate size recommendations

Quick integration

Improved conversion

Lower returns

About StyleVue

Launched Nov 13, 2023

Built by Shopify

Address

151 O’Connor St, Ottawa, ON, ON, CA

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Claim Offer

ZB: Exit Intent Pop up Window

(10 Reviews)

Claim Offer

Sponsored

Simple and reliable popups to promote sales and capture...

Introduction Video

Description

Reduce returns & boost conversion with AI enabled personalized size recommendation and fit guidance

StyleVue provides accurate, product-specific size recommendations and fit guidance for apparel and footwear brands. Our proprietary AI algorithm backed by thousands of real life user data results in decreased returns, increased sales, and satisfied customers. We have unlimited customization available to fit perfectly with your brand's design language. With StyleVue, your customers find the right sizes every time as we take the guesswork out of shopping fashion online.

Accurate Size Recommendations
Lower Returns
Improved Conversion
Quick Integration

Pros

Accurate size recommendations reduce the likelihood of returns
Decreased returns lead to increased sales and customer satisfaction
Proprietary AI algorithm backed by extensive real-life user data
Unlimited customization allows alignment with brand design language
Enhanced customer experience by removing guesswork in online shopping
Improved conversion rates due to accurate fitting suggestions
Quick integration with existing systems

Cons

Limited to apparel and footwear brands, might not cater to other product categories
Requires access to a significant amount of user data to function optimally
Potential issues with data privacy and user security
Dependence on algorithm accuracy which may vary across different brands
Brands with unique sizing standards may face initial integration challenges