Our Mission

Our mission is to help retailers grow and stay relevant. We give customers the confidence to look and feel great and take the hassle out of shopping. We give retailers the tools and insight to make better products and decisions.

We believe that personalisation at the individual level underpins superior recommendations. It is the foundation of a truly helpful shopping experience for customers and creates insight to improve products and solve the inefficiencies of the retail industry. Over 3.5 million women use our service to make better shopping and dressing decisions everyday.

Why Dressipi

1-to-1 Personalisation

Our machine learning technology continuously evaluates the success of our recommendations to select the most effective algorithms for each customer, considering their individual profile, preferences, behaviour and the context in which they are shopping.

Continual Learning

Each individual customer has their own model which continually learns and evolves with their lifestyle, fashion requirements, activity, purchase and preference data – we call this the Fashion Fingerprint®.

Proven Results

In A/B tests Dressipi has consistently delivered 5% in net incremental revenue per visitor, over and above gains from competitive solutions.

Specific Fashion Domain Knowledge

We understand that fashion and how customers think of fashion changes with time, inspiration and context. Our algorithms take account of fashion specific information, updated by some of the industry’s most renowned stylists. We believe this represents a key differentiator and enables us to outperform competitors when compared with a general approach to personalisation.

Future Proof your Business

Adaptability is key. There are many exciting advances in both Machine Learning and AI. Our solution marries the best of algorithms and proprietary techniques that we constantly evolve by integrating newly discovered methods. You can integrate our recommendations into any application or solution using our APIs.

Personalisation at Every Point of the Shopping Journey

Our solution works across all channels enabling the customer to get the best advice and guidance wherever and however they choose to shop. Consumers sees no distinction and move effortlessly between shopping online, on mobile or instore.

Meet the Team

We are a small team with big ambitions. Our expert technologists, data scientists and fashion stylists work side by side with the common goal of shaping the future of retail.

If you would like to join us on our journey please visit our careers page to see what roles we are currently hiring for.

  • Lord Rose

    Lord Rose

    Chairman

  • Sarah McVittie

    Sarah McVittie

    Co-Founder

  • Donna North

    Donna North

    Co-Founder

  • Frederick Cheung

    Frederick Cheung

    CTO

  • Rob Bevan

    Rob Bevan

    Creative Director

  • Nick Landia

    Nick Landia

    Chief Data Scientist

  • JJ. Green

    JJ. Green

    Machine Learning Developer

  • Yi Sheng Chan

    Yi Sheng Chan

    Machine Learning Developer

  • Jiazhen Xie

    Jiazhen Xie

    Software Engineer

  • Daria Biryukova

    Daria Biryukova

    Business Insight Analyst

  • Natalie Theo

    Natalie Theo

    Style Director

  • Tara Kavanagh-Dowsett

    Tara Kavanagh-Dowsett

    Style Director

  • Selina Mills

    Selina Mills

    Junior Stylist Manager

  • Anusha Ramesh

    Anusha Ramesh

    Product Manager

  • Philippa Mew

    Philippa Mew

    PR & Marketing Associate

  • David Gibbs

    David Gibbs

    Web Developer

  • Matt Thomas

    Matt Thomas

    Web Developer

  • Paul Woestelandt

    Paul Woestelandt

    Web Developer