A London-based technology business has teamed up with leading high street retailers to give customers their own personal styling service powered by artificial intelligence (AI). The technology has yielded 5% to 8% increases in net incremental revenue per visitor for the firm’s retail clients.
Dressipi was founded by Donna North and Sarah McVittie, helping apparel retailers give each customer their own personalised shopping experience, both online and instore.
By deploying unique data sets and a comprehensive set of machine learning and AI technologies, Dressipi enables retailers to match customers with products and experiences to influence buying behaviour at scale. They now work with around 30% of the retail womenswear market - Arcadia, John Lewis, Shop Direct and many others.
Complex behavioural data
Dressipi also turns complex customer, garment and behavioural data into actionable insights on why customers buy and return specific products, allowing retailers to improve predictions and efficiencies in the buying and merchandising processes.
Much like a human stylist, Dressipi analyses a customer’s profile and the way they shop for clothes in the context of their own wardrobe and sentiment towards fashion trends.
The machine learning technology continuously evaluates the performance of its recommendations to predict what a shopper is mostly likely to buy and keep. It learns and evolves with their lifestyle, fashion requirements, activity, purchase and preference data, as Style Director Natalie Theo explains:
"We teach you how to know what styles suit your shape – and to suit your style better. That totally eliminates so many garment choices that you have to make and takes the stress out of that aspect of shopping."
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Dressipi: fashioning your own digital wardrobe (ISCF - AI & Data Economy) |
| 13 Likes | 13 Dislikes |
| 13,466 views views | 6,135 followers |
| Science & Technology | Upload TimePublished on 31 Aug 2017 |
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