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70% waste reduction

50% faster design

30% Market Expansion

Summary

Toyoshima, a leader in the textile industry, faced significant challenges with its traditional fabric design and visualization processes. Physical sample creation extended product development cycles to months or even years, limiting creativity and market responsiveness. With a high-profile global exhibition approaching in July, Toyoshima needed a transformative solution. </br>

Aokumo deployed the AI Fabric Genie System, leveraging Amazon Bedrock and custom RAG-LLMs Services, to revolutionize their design workflow.

The Challenge

Toyoshima encountered fundamental limitations in their traditional textile design process:

  • Extended Development Cycles: Physical sample creation stretched product development timelines, increasing costs and material waste.
  • Visualization Constraints: Traditional workflows lacked realistic fabric rendering, requiring costly prototypes for accurate visualization.
  • High-Stakes Exhibition Timeline: A critical industry event in July required a compelling demonstration of innovation.
  • Limited Market Expansion: Existing textile design processes were focused solely on apparel, restricting entry into adjacent markets like automotive interiors and consumer products.
Our traditional sample-based process stifled creativity and impacted our bottom line. We needed a transformative approach to remain competitive in a rapidly evolving global market.

The Aokumo Solution

Aokumo developed the AI Fabric Genie System, a cutting-edge AI-powered visualization platform tailored to Toyoshima’s textile innovation goals. Strategic AI-Driven Capabilities:

  • AI-Powered Design Visualization – Using AWS SageMaker and Amazon Bedrock, the system generated photorealistic fabric designs from simple text descriptions or image prompts, reducing the need for physical samples in the early design stages.
  • Cross-Industry Rendering Capabilities – Integrated IP-Adapter technology enabled textile designs to be visualized across apparel, automotive interiors, and consumer products, preserving realistic material properties such as shadows, folds, and textures.
  • Scalable High-Performance Architecture – The system was built on Flask for the frontend, RabbitMQ for task queuing, and GPU-powered workers, ensuring smooth operation under high-demand conditions, including exhibition demonstrations.
  • Exhibition-Ready Implementation – Aokumo delivered the fully functional AI Fabric Genie System ahead of Toyoshima’s critical July showcase, positioning the company as an industry pioneer in AI-powered textile innovation.

The Results

  • 70% Material Waste Reduction – AI-driven visualization eliminated unnecessary physical samples.
  • 50% Faster Design Cycles – Development time reduced from months to days, accelerating time-to-market.
  • 30% Market Expansion – Enabled seamless textile applications beyond apparel into automotive and consumer goods.
  • Industry Recognition – AI-powered innovation became the highlight of Toyoshima’s July exhibition, solidifying its leadership in textile design.

Conclusion

Aokumo’s AI Fabric Genie System successfully bridged the gap between Toyoshima’s traditional textile expertise and cutting-edge digital innovation. By digitizing fabric visualization and optimizing design workflows, Toyoshima achieved 50% faster design cycles, 30% market reach expansion, and breakthrough industry visibility.

This project demonstrates how artificial intelligence can revolutionize even the most established industries, driving creativity, efficiency, and new market opportunities.

Aokumo continues to help organizations redefine their industry potential by leveraging AI, generative design, and digital transformation strategies.

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