With always-on customers, fashion retailers need to better understand their preferences, anticipate demand faster and personalise all touchpoints to stay ahead.Dressipi is the leading independently verified Revenue Optimisation Platform for fashion retailers. Using fashion-specific AI and machine learning capabilities, Dressipi helps retailersmeet shopper expectations and drive profitable growth in three simple steps:1) Engage - Personalise the customer experience at every touchpoint (online, in-store, in-app, in emails) 2) Learn - Move from spreadsheets to real-time actionable insights on every customer and product3) Optimise - Enhance the customer experience and improve supply chains Dressipi’s powerful APIs seamlessly integrate into existing enterprise platforms so you can quickly drive profitable growth across the entire value chain.Dressipi is delivering proven revenue increases and returns reduction to some of the UK & Europe's biggest fashion retailers. Our focus on fashion is a key differentiator and why we consistently outperform competitors’ general, cross-industry approach.

Analytics

Retail

AI/ML

Dressipi

Donna North

Umesh Patel

Sarah McVittie

Selina Mills

Jennifer Gaskins, PhD

Rob McCann

The Styling Team at Dressipi leverages fashion-specific AI and machine learning technologies to curate personalized fashion recommendations for customers. This team works diligently to understand individual preferences and style trends, ensuring a seamless and engaging customer experience across multiple touchpoints, whether online, in-store, in-app, or via email. Their expertise helps retailers enhance customer engagement, boost satisfaction, and drive profitable growth by offering tailored styling advice and insights.

Styling Team

Engineering and Data Team

Leadership Team

Styling Team

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Team members

Other teams at Dressipi

Engineering and Data Team

Leadership Team