product technology

Artificial intelligence empowers designers in IBM, Tommy Hilfiger and FIT collaboration

IBM has teamed up with Tommy Hilfiger and the Fashion Institute of Technology on a project called Reimagine Retail to demonstrate how AI can help expedite and enhance the design process.

A design by FIT student Grace McCarty for Tommy Hilfiger's Reimagine Retail project with IBM - artificial intelligence
A design by FIT student Grace McCarty for Tommy Hilfiger’s Reimagine Retail project with IBM

Young fashion shoppers today are demanding personalization more than ever. According to an IBM study, 52% of female Generation Z would like to see tools that allow them to customize products for themselves.

This coincides with an ever-increasing expectation for speed in delivery of product. While several fast fashion retailers can get product to shelves in weeks, the majority of clothing items take anywhere from six to 12 months of development.

Technology is impacting throughout the supply chain to shift this forward, including in the creative process itself. Artificial intelligence (AI) for instance – incorporating computer vision, natural language understanding and deep learning – is being used to produce key insights on trends to both expedite the initial design process and better predict demand for hyperlocalized products.

IBM has teamed up with Tommy Hilfiger and The Fashion Institute of Technology (FIT) Infor Design and Tech Lab on a project called Reimagine Retail to demonstrate this. The aim is to show how AI capabilities can give retailers an edge in terms of speed, and equip the next generation of retail leaders with new skills using AI in design, according to Steve Laughlin, general manager of IBM Global Consumer Industries.

To do so, FIT students were given access to IBM Research’s AI capabilities including computer vision, natural language understanding, and deep learning techniques specifically trained with fashion data.

Those tools were applied to 15,000 of Tommy Hilfiger’s product images, some 600,000 publicly available runway images and nearly 100,000 patterns from fabric sites. They then brought about key silhouettes, colors, and novel prints and patterns that could be used as informed inspiration to the students’ designs.

Head over to Forbes to read the full story.

By Rachel Arthur

Rachel Arthur is Editor-in-Chief of Current Daily, the leading news source for fashion, retail and innovation, and the co-host of its weekly Innovators podcast. She otherwise serves as Co-Founder and Chief Innovation Officer of Current Global, a transformation consultancy driving growth within fashion luxury and retail. By background she is an award-winning business journalist and consultant, contributing to titles including Wired, Forbes and Business of Fashion.