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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

Categories

Built by Shopify

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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.

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. more
  • 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

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