Recommend your customers the most relevant products in real time based on their unique style, preferences and changing needs.
Unlike other personalisation solutions every product recommended is mapped to each customer as if curated by their own personal stylist. Dressipi does this by analysing a customer’s profile, behavioural activity, wardrobe context, trend sentiment and intent.
Inspire customers by showing how to style items for different occasions with new products or ones they already own. Outfits are a powerful way of showing customers the versatility of a garment, giving them the confidence to make a shopping decision.
Recommend the best size for every product. Give customers the extra assurance to add an item to their basket and reduce the likelihood of making a return.
Listing & Category Pages
Eliminate the hassle of lengthy scrolling. Show a personalised listing for each customer so they can quickly and easily see the products most relevant to them and most likely to buy.
Emails & Notifications
Personalised emails and notifications lead to higher open rates, click-through rates and purchases than segment based ones. Dressipi’s solution automates the delivery of product and outfit recommendations to each individual customer, inspiring them to return to store or online. Works with any ESP and can be theme based or triggered based on activity.
Landing & Content Pages
Match any keyword or promotional theme to create a personalised alternative for every campaign.
Amiya – Stylebot
The future of search and the first step towards voice based recommendations. Amiya, our Style Bot is on hand to answer individual customer questions such as “I’m going to a smart, city wedding, what should I wear?”
Enable your customers to have their fashion life in a central place and recreate the one-to-one touch of your best personal stylist. The Style Hub showcases new and context relevant products (Personal Daily Picks), helps customers easily buy new products to go with those they already own (Wardrobe) and stores all their inspiration (Saved Outfits & Likes) and preferences (Fashion Fingerprint).
Increases net incremental revenue per visitor by 5-8% whilst also increasing AOV and frequency of purchase.
Dressipi aims to solve each customer’s problems by putting their needs at the heart of our solution to deliver a truly personalised experience that delivers great results.
Our unique approach combines data captured on the customer as well as on each individual garment. This information is crucial to providing personalisation at the individual level and creates data that can be fed back to retailers to help them optimise key metrics.
Paul HornbyHead of eCommerce, Shop Direct
“Customers with a Dressipi profile clicking through from the Style Hub to a product page are 76% more likely to place an order than when the same customer clicks through from other parts of the site. We are very happy with the performance and look forward to future developments.”