L'istituto di Moda Burgo forma i nuovi designer di moda grazie al software Raspberry AI, permettendo agli studenti di trasformare idee in progetti professionali digitali.
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Before adopting Raspberry AI, Istituto di Moda Burgo faced challenges in fully integrating digital innovation into its creative curriculum. That’s why IMB looked to a trusted technology partner specializing in digital fashion and 3D innovation to find a tool to help them in their ongoing push toward modernizing design education.
The digital curriculum relied primarily on standard design software, and most projects were completed through manual sketching and traditional pattern-making, restricting real-time collaboration and experimentation. While the school had explored AI tools for image generation and trend forecasting, there was no unified solution that integrated AI directly into the creative and educational workflow.
Raspberry AI distinguished itself by combining accessibility, AI guidance, and creative flexibility in one intuitive platform.
The platform’s ease of use and AI-powered features encouraged both experimentation and sustainability, allowing students to prototype virtually and reduce material waste.
Following a successful pilot integration in Fashion Design and CLO3D courses, IMB observed a remarkable increase in creativity, efficiency, and student engagement. These results led to wider adoption across multiple programs.
Raspberry AI has led to a 30% reduction in project development time, significant savings in testing and physical material costs, and a measurable increase in originality and presentation quality.
Students quickly embraced Raspberry’s user-friendly interface and integrated AI tools. The most impactful features have included:
Raspberry AI is now used across concept development, fabric visualization, and collection design, as well as in competitions and brand collaborations.
The benefits have been profound: students demonstrate greater creative confidence, faster workflows, and stronger digital portfolios aligned with industry expectations.
One standout project featured a sustainability-themed collection, where students used Raspberry to generate variations from recycled textile textures resulting in a cohesive and visually stunning digital showcase.
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