The 'Savitude' Shopping App Picks Clothes That Fit Various Body Types
Ellen Smith — May 16, 2017 — Tech
References: savitude & techcrunch
The Savitude shopping app aims to change women's relationship with online shopping with its personalized approach to buying clothes online. Clothes draped onto figure-less models aren't usually an accurate depiction of how the clothes will look on the consumer. The result of this confusion usually ends in the customer returning the clothes, and the retailer losing the sale.
Savitude aims to end this issue through its entirely new approach which ensures the clothes purchased online not only fit you, but look good on your body. The start-up works through asking the shoppers a series of questions, which range from "is your bust larger than your waist?" to "Select the image that looks most like your shoulders."
The app will then create a personalized virtual depiction of your body which you can use to try on the different clothes online, to find what's flattering with more accuracy.
Savitude aims to end this issue through its entirely new approach which ensures the clothes purchased online not only fit you, but look good on your body. The start-up works through asking the shoppers a series of questions, which range from "is your bust larger than your waist?" to "Select the image that looks most like your shoulders."
The app will then create a personalized virtual depiction of your body which you can use to try on the different clothes online, to find what's flattering with more accuracy.
Trend Themes
1. Personalized Shopping - Opportunity for retailers to develop personalized shopping experiences using technology and data to improve customer satisfaction.
2. Virtual Try-on - Disruptive innovation opportunity to create virtual fitting rooms or try-on experiences that enable customers to visualize how clothes will look on their body before purchasing.
3. Body Type Recognition - Potential for AI and machine learning technologies to accurately analyze body types and provide tailored recommendations for clothing options.
Industry Implications
1. E-commerce - Innovative solutions for personalized shopping experiences can be implemented by e-commerce platforms to increase customer engagement and conversions.
2. Fashion - Fashion retailers can leverage virtual try-on technologies to enhance the online shopping experience and reduce product returns due to misfitting clothes.
3. Artificial Intelligence - AI-powered body type recognition algorithms can be integrated into various industries such as retail, fitness, and health to provide customized recommendations and services.
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