Case Study: Fitle improves conversion and reduces returns with Addevice

Fitle cuts fit uncertainty with Addevice using 99% accurate virtual try-on

Fitle, a smart shopping app, faced the challenge of safely processing users' sensitive body data to provide accurate clothing size recommendations and reduce online purchase returns. They partnered with Addevice to develop an iOS and Android application that could handle large amounts of visual data and overcome issues related to sizing uncertainty and diverse customer morphologies.

Addevice developed a solution for Fitle using a technology stack that included Swift, Kotlin, and Node.js, creating a 3D fitting room with predictive sizing. This resulted in an improved conversion rate, significantly reduced returns, and an enhanced customer experience. The project was completed successfully and on time, with Addevice delivering over 6,000 development hours to build the revolutionary app.

Fitle