Dresslife Personal Styling AI
Dresslife Personal Styling AI - A personal styling ai for faster online shopping, higher conversions and less returns
Every year, the fashion industry faces greater than $35B annual losses in returns, over $60B resulting from insufficient personalization and more than $50B from overstock and out-of-stock in fashion e-commerce in Europe and the USA. Dresslife mitigates these losses with its Personal Styling Artificial Intelligence (AI) that helps shoppers find clothing they like and that fits in a faster and more conveniently way, leading to higher conversions and less returns for fashion retailers. Dresslife sorts products based on a recommendation score, reflecting the probability of a customer liking and keeping an item. Personalization is 6x more effective in all segments other than apparel, due to shorter product lifecycles and the complexity of the human body. Dresslife mitigates losses and achieves similar metrics for fashion e-commerce, by addressing the segment-specific complexities. Global marketplaces, such as Amazon or Alibaba, already reach a revenue uplift of 35% through personalization. Dresslife allows fashion retailers to maintain competitiveness and avoid losing market shares to the larger platforms.
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Key features
- •Increases the number of items a customer sees on the first category page that they would like and keep by 31%, increasing the revenue per user by over 5%
- •Predicting fit 30% more accurately than a human, which reduces returns by more than 5%
- •198,100t less carbon emissions generated
- •Potential to It could be Potential to decrease about 250M pounds or 125.000 tons of clothing waste
Profitability
- •5 – 10% additional generated revenue per user
- •Immediate payback time: greater than 5% net revenue, saves more than 5% of return costs
Categories of Application
SDG’s of application
Maturity Stage
- Medium and large scale commercialization
- Small scale commercialization
- Initial market commercialization
- Prototype testing in the real world
- Prototype testing 1:1 in the lab
Looking For
