Refiberd is revolutionizing textile analysis by leveraging AI-driven material recognition and machine learning to enhance efficiency and sustainability in the fashion and textile industry. Traditional methods for identifying fabric compositions are time-consuming and error-prone, making recycling and waste management more challenging. Refiberd provides a fast, accurate, and automated solution, allowing businesses to optimize their textile sourcing, improve material traceability, and contribute to a more sustainable production cycle.

Refiberd is revolutionizing textile analysis by leveraging AI-driven material recognition and machine learning to enhance efficiency and sustainability in the fashion and textile industry. Traditional methods for identifying fabric compositions are time-consuming and error-prone, making recycling and waste management more challenging. Refiberd provides a fast, accurate, and automated solution, allowing businesses to optimize their textile sourcing, improve material traceability, and contribute to a more sustainable production cycle.

THE CHALLENGE

Identifying Key Pain Points

Identifying Key
Pain Points

1

Traditional textile analysis methods are slow and inefficient, leading to delays in production and recycling.

1

Traditional textile analysis methods are slow and inefficient, leading to delays in production and recycling.

1

Traditional textile analysis methods are slow and inefficient, leading to delays in production and recycling.

2

Businesses lack automated solutions for identifying and categorizing fabric materials accurately.

2

Businesses lack automated solutions for identifying and categorizing fabric materials accurately.

2

Businesses lack automated solutions for identifying and categorizing fabric materials accurately.

3

Sustainability efforts are hindered by poor material traceability, making it difficult to manage textile waste.

3

Sustainability efforts are hindered by poor material traceability, making it difficult to manage textile waste.

3

Sustainability efforts are hindered by poor material traceability, making it difficult to manage textile waste.

4

The industry needed an intuitive digital tool that simplifies textile recognition and delivers real-time insights.

4

The industry needed an intuitive digital tool that simplifies textile recognition and delivers real-time insights.

4

The industry needed an intuitive digital tool that simplifies textile recognition and delivers real-time insights.

THE SOLUTION

Machine Learning Textile IdEntification APP

AI-POWERED Textile
IdEntification APP

Machine Learning Textile
IdEntification APP

Refiberd introduces an AI-powered fabric identification system that uses machine learning algorithms to analyze and classify textiles with high precision. The UX/UI was designed to provide a seamless and intuitive experience, allowing users to upload textile samples and receive instant AI-generated insights on material composition. By continuously learning from new data, the system improves accuracy over time, ensuring reliable results for businesses. The platform enhances traceability and transparency, helping companies make informed decisions about textile use and recycling. With a focus on automation, accuracy, and sustainability, Refiberd is transforming how the industry approaches fabric analysis and material sourcing.

Refiberd introduces an AI-powered fabric identification system that uses machine learning algorithms to analyze and classify textiles with high precision. The UX/UI was designed to provide a seamless and intuitive experience, allowing users to upload textile samples and receive instant AI-generated insights on material composition. By continuously learning from new data, the system improves accuracy over time, ensuring reliable results for businesses. The platform enhances traceability and transparency, helping companies make informed decisions about textile use and recycling. With a focus on automation, accuracy, and sustainability, Refiberd is transforming how the industry approaches fabric analysis and material sourcing.

Analitical Page (for operators)

Analitical Page (for operators)

Admin Page (for leaders)

Admin Page (for leaders)

INTERACTIVE PROTOTYPES

BRINGING IDEAS TO LIFE WITH FIGMA

BRINGING IDEAS TO
LIFE WITH FIGMA

“Interactive prototypes in Figma are key to testing usability before development. They help validate flows, gather feedback early, and avoid costly changes later in the process.”

THE DESIGN PROCESS

From concept to completion

THE DESIGN SYSTEM

THE DESIGN SYSTEM

WHERE Consistency Meets Efficiency

WHERE Consistency
Meets Efficiency

“A well-structured and scalable design system is essential for consistency, efficiency, and future growth. That is why I created a robust system with clear components, styles, and documentation to ensure smooth collaboration and easy scalability as the product evolves.”

REFIBERD

REFIBERD

Quick Project Details

Quick Project Details

industry

Textile & Sustainability

PRODUCT DESCRIPTION

AI-powered platform that enables businesses to analyze textile composition with speed and accuracy, improving material traceability and sustainability efforts.

Service

UX/UI Design - Product Development

year

2024

country

USA

PLATFORM

Desktop