论文标题
可解释的基于AI的干预措施，用于时尚零售业的季前决策
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail
论文作者
论文摘要
可持续时尚的未来在于采用AI，以更好地了解消费者购物行为，并利用这种理解进一步优化产品设计，开发和采购，最终减少过度生产库存的可能性。解释性和可解释性在增加时尚之类的创意领域中采用基于AI的工具方面非常有效。在时装屋中，购买者，商品销售商和财务规划师等利益相关者采用高销售目标和减少死亡库存的主要目标进行决策的方法。而设计师基于观察到的市场趋势，社交媒体和跑道节目具有更直观的方法。我们的目标是通过介入能力的能力来构建一个可解释的新产品预测工具，以便所有利益相关者（具有竞争目标）都可以参与新产品设计，开发和发布的协作决策过程。
Future of sustainable fashion lies in adoption of AI for a better understanding of consumer shopping behaviour and using this understanding to further optimize product design, development and sourcing to finally reduce the probability of overproducing inventory. Explainability and interpretability are highly effective in increasing the adoption of AI based tools in creative domains like fashion. In a fashion house, stakeholders like buyers, merchandisers and financial planners have a more quantitative approach towards decision making with primary goals of high sales and reduced dead inventory. Whereas, designers have a more intuitive approach based on observing market trends, social media and runways shows. Our goal is to build an explainable new product forecasting tool with capabilities of interventional analysis such that all the stakeholders (with competing goals) can participate in collaborative decision making process of new product design, development and launch.
