AI-Powered Denim Catalogs

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Salsa Jeans Implemented MySize's Smart Catalogue to Improve Fit & Sizing

The struggle of shopping for jeans online often leaves consumers with sizing uncertainties and frequently results in retailers grappling with a high volume of return requests—and MySize's Smart Catalogue uses artificial intelligence to solve pain points on both ends.

Global apparel brand Salsa Jeans is piloting Smart Catalogue for the purposes of validating the size consistency of collections. 342 tests were done with 31 patterns on 32 people of different bodies to better support the brand's target customers of women between the ages of 30 to 50. This innovation for Gen X and early members of the Millennial generation promises to alleviate the stress of finding a pair of jeans with the right fit, and going forward, Salsa Jeans is exploring the possibility of creating data-powered denim collections.
Trend Themes
1. Improved Sizing Accuracy - AI-powered smart catalogues like MySize's address the problem of sizing uncertainties for online shoppers, reducing the need for return requests.
2. Data-driven Collections - The piloting of MySize's Smart Catalogue by Salsa Jeans opens up opportunities for creating denim collections based on data analysis of size consistency and customer preferences.
3. Enhanced Customer Experience - Implementing AI-powered smart catalogues can provide a stress-free shopping experience for Gen X and early Millennials by ensuring a better fit and eliminating sizing issues.
Industry Implications
1. Apparel Retail - The adoption of AI-powered smart catalogues in the apparel retail industry can lead to improved customer satisfaction and reduced return rates.
2. Fashion Tech - The use of artificial intelligence in fashion tech opens up opportunities for innovative solutions like MySize's Smart Catalogue to address sizing uncertainties and improve the online shopping experience.
3. Data Analytics - The integration of data analytics in the fashion industry allows for the creation of data-driven collections and improved sizing accuracy, optimizing product offerings for customers.

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