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Virtual Fitting Room Software Development

A US-based startup in the tech and design space identified a pressing need in the retail and eCommerce sector – reducing customer returns and offering a personalized online shopping experience. To bridge this gap, they collaborated with Rishabh Software to develop a virtual dressing room web application targeting small and mid-size retailers. The goal of this virtual dressing app development project was to drive higher sales by allowing customers to try on products virtually without having to visit the physical store.

Capability

Digital Experience

Industry

Retail

Country

USA

Key Features

We developed a user-friendly virtual dressing room application that would be placed on online stores for shoppers to try on clothes to enhance their personal shopping experience. It would allow online shoppers to use their own photos on smartphones or any AR-enabled devices and visualize how clothing items look on them. The key features of this virtual fitting room web app included:

Image upload functionality

Enable end customers to upload their images to virtually try on clothing items. This technology utilizes advanced image processing algorithms to provide customers with an interactive try-on experience. It includes body measurement and mapping, virtual garment simulation, and AR image visualization.

Real-time try-on

Customers can personalize their virtual experience with various color and size options and get a reliable sense of how a garment will look and fit their unique body. It will save a significant time and effort for customers and expands the range of options available to them regardless of physical store availability.

Optimized inventory management

Retailers can easily upload and manage a diverse range of products within their online store. They can optimize inventory levels, reduce stockouts, and minimize overstocking. This leads to reduced storage costs and enhanced supply chain efficiency.

Data analytics

The data collected through virtual fitting room interactions enables retailers to conduct market research, trend analysis, and product development. The data can then be used for customizing marketing campaigns and products based on customer preferences and purchase patterns.

Challenges

Seamless and intuitive user experience for both retailers and end customers.

The actual need for scalability to accommodate a growing number of retailers and customers.

Realistic and accurate virtual fitting experiences were significant challenges.

Solutions

To address the client’s challenges, we used advanced technologies like PythonNodeJS, and AWS to develop a virtual trial room web application. The web application enabled retailers to provide a personalized and convenient shopping experience to drive more sales and build customer loyalty. Our team leveraged its expertise in three key areas to ensure seamless functionality, scalability, and user-friendliness:

Augmented reality virtual fitting room expertise

Our developers are well-versed in AR technology, and to deliver a desired solution we developed a realistic and engaging virtual try-on experience. We leveraged sophisticated pose estimation algorithms; to develop web application that accurately maps clothing onto uploaded images to offer an authentic interaction. This in turn allows retailers to offer confidence-boosting virtual try-on capabilities resulting in reduced returns and increased sales.

Seamless WordPress & WooCommerce integration

The virtual fitting room for eCommerce was developed as a plugin for WordPress and WooCommerce, enabling retailers to effortlessly integrate the solution into their existing e-commerce websites. This minimized technical hurdles and disruptions and facilitated easy adoption by retailers. Our experience ensured a smooth user experience for both retailers and customers, maximizing the solution’s impact.

Cloud & data management

We leveraged the power of the cloud to host the web application on Amazon Web Services (AWS). This robust platform provided unmatched scalability, reliability, and security, ensuring smooth virtual try-on experiences even during peak traffic periods. Additionally, our developers implemented MongoDB and MySQL databases for efficient customer and product data management. This facilitated fast retrieval and secure storage with smooth operation and scalability.

Outcomes

0 %
reduction in refund or replacement due to wrong fit issue
0 %
improvement in conversion rate compared to the traditional size chart
0 %
expansion in customer base with enhanced shopping experience

Technologies Used

AWS
Python
React-JS
Node.js
Express
MySQL
MongoDB
WordPress
Woo

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