For many, the idea of walking into a store and finding new clothes that actually fit is non-existent. The designs are either too bulky, or the lengths of the sleeves and pants are too long. Frustrated, many leave and do their shopping online instead. Except the experience isn’t much better there. Savitude co-founders Nick Clayton and Camilla Olson are on a mission to help turn the situation around. The idea behind the company is a radical one: to recreate a designer’s brain by using code. Nick and Camilla joined IT Visionaries to discuss what that means and how they are using A.I. and machine learning to find clothes for everybody.

3 Key Takeaways

• Too many clothes are made for body types that aren’t realistic because designers typically only design for one or two body types
• Thanks to a backlog of data and through the use of A.I., Savitude utilizes nine different body types, and predicts how clothes will fit for customers
• One-in-six online clothing purchasing ends up being returned due to fit, which means there is a huge opportunity to offer a better, more frictionless experience using technology

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