Stora Enso, a leader in renewable packaging, is looking for Generative AI solutions to streamline the process of creating new designs and optimizing them for production, transport, and specific use cases. Their vision is to provide sustainable, affordable, and customized 3D-printed designs for their clients with shorter lead times.
Opportunity overview
Today, the process of creating 3D-printed customized designs is lengthy and takes a lot of trial and error because the technology and material are still embryonic. A lot of prototyping is needed, which leads to long lead times. Stora Enso aspires to shorten the design process and provide sustainable and affordable customized 3D-printed designs for their clients using Generative AI.
Stora Enso envisions utilizing Generative AI to create packaging designs for unique and complicated products and designing furniture products with optimized design. Additionally, Stora Enso is interested in using Generative AI to design layouts for pre-defined spaces filled with 3D-printed elements such as furniture. If you have deep knowledge of Generative AI in design or an understanding of 3D printing in manufacturing and engineering, Stora Enso is highly interested in hearing from you!
Your opportunity with Stora Enso
You get to work with concrete industrial use cases for generative design and optimization that can be expanded in many ways. This can be a great entry point for a long collaboration in several areas of Stora Enso businesses and innovation. We want to collaborate and share our industry & commercial knowledge, enabling your company to further opportunities within the industry.
Examples we're looking for
Generative AI for customized packaging design
I use generative AI to create a packaging design for unique and complicated products. Input is the product’s model, and output is the package’s design.
Generative AI for space filling design
We are designing the layout for a pre-defined space filled with 3D-printed elements such as furniture. Input is a model of the area, and the output is a model of the sealed room with 3D-printable objects and structures.
Generative AI for optimized designs
We are designing furniture products with optimized designs based on various parameters. Input is the purpose, use, transport, and production factors. Output is a range of feasible strategies.
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