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Shopping

Fitle

Fitle is the smart shopping app revolutionizing the way people buy clothes online. The app is a fun and simple 3D fitting room, based on body photos uploaded by users.

Headquarters:

USA

Customer since:

2019

Industry:

iOS, Android

Stonestep
Fitle
Fitle is the smart shopping app revolutionizing the way people buy clothes online. The app is a fun and simple 3D fitting room, based on body photos uploaded by users. Fitle helps buyers choose the items that look best on them, by allowing them to virtually try on clothes. The preview in Fitle offers 99% accuracy.

The deathly problem

Building the Fitle app meant developing a product that processes users’ data to help them identify the right clothing size and body fit for their online purchases. This required designing an app which safely collects sensitive data and which can quickly process large amounts of visual data.
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FitleFitle

Challenges & results

FITLE overcame challenges related to sizing uncertainty and returns, resulting in improved conversion rates and a superior customer experience. It also successfully collaborated with leading fashion brands to achieve these outcomes
Challenges
  • Size Uncertainty
  • Reducing Returns
  • Enhancing Conversion Rates
  • Diverse Customer Morphologies
  • Size Chart Optimization
Results
  • Improved Conversion Rate
  • Reduced Returns
  • Enhanced Customer Experience
  • Optimized Size Charts
  • Successful Partnerships
Fitle
iOS

1000 hours

Android

1200 hours

UX/UI

500 hours

Front-end

1400 hours

Back-end

1650 hours

Project management

400 hours

QA

600 hours

iOS

1000 hours

Android

1200 hours

UX/UI

500 hours

Front-end

1400 hours

Back-end

1650 hours

QA

600 hours

Project management

400 hours

Technology stack

The technology stack for FITLE's solution includes a range of tools and technologies to support its predictive sizing, e-commerce insights, and size chart optimization features. Specific technologies used may include machine learning algorithms, data analytics, and web development frameworks
Swift

Swift

Kotlin

Kotlin

NodeJS

NodeJS

Firebase

Firebase

Amazon Web

Amazon Web

Socket.IO

Socket.IO

MongoDB

MongoDB

Solutions

FITLE's solutions include predictive sizing to reassure customers, reduce returns, and improve conversion rates in e-commerce. It also supports designers in creating accurate size charts that cater to the diversity of customer morphologies. Overall, FITLE ensures that customers enjoy a seamless and confident shopping experience with well-fitting apparel
  • Reduced Returns
  • Predictive Sizing
  • Improved Conversion Rates
  • Size Chart Optimization
  • Valuable Partnerships

What clients say

Nirav Shah

This project was finished on time. The project manager was fast and an excellent problem solver. He went above and beyond in delivering an excellent featur on time.

Nirav Shah, M.D. Chief Executive Officer

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