Projects

AISTETIC

We are a University of Oxford Spinout, applying state of the art computer vision and deep learning to the real world problems associated with shopping for clothes online. We’re building an innovative e-commerce platform, applying computer vision and deep tech to clothing. We are a team that is on mission to disrupt and improve how everyone shops for clothes. Aistetic was founded with a clear purpose: to make fit and style accessible to more people wherever they are. And our mission is to do so sustainably, reducing waste, and encouraging a more sustainable approach to clothing.

Learning to the real world problems associated with shopping for clothes online. We’re building an innovative e-commerce platform, applying computer vision and deep tech to clothing. We are a team that is on mission to disrupt and improve how everyone shops for clothes. Aistetic was founded with a clear purpose: to make fit and style accessible to more people wherever they are. And our mission is to do so sustainably, reducing waste, and encouraging a more sustainable approach to clothing.

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Problem

The problem is too many clothes do not fit from online orders. As a result, clothes are returned. This has a financial cost for retailers as they have to process the return, re-stock and re-deliver. There is an environmental cost with clothes going to landfill, or additional logistics required to handle these returns. It’s a pain for shoppers: ordering multiple sizes, having these to send back or to make a special trip to a store.

Solution

We are building a B2B tech platform for retailers to make fit and style accessible to more people, leveraging computer vision, deep learning & advanced visualisation. We want to reduce online returns and increase conversion for retailers. Our purpose is to do this sustainably, reducing the environmental impact of returns ensuring that shoppers buy clothes that fit them, keep and wear for longer.

Traction

Secured £680K of funding to date – 2 Innovate UK Grants, University of Oxford Research Partnership, Machine Intelligence Garage Accelerator, Data Market Services Accelerator, & 5Pring Green Innovation Challenge Accelerator.

Pre-seed round closed October 2020.

Progressing discussions with retailers to pilot in Q2.

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