Identifying Popular Products at an Early Stage of Sales Season for Apparel Industry

Jiayun Wang, Shanshan Wu, Qingwei Jin, Yijun Wang, Can Chen
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Abstract

The early phase of launching a new apparel product is critical for gaining insights of its performance and classifying it into different categories such as fast selling, average selling, and slow selling. We propose a new ranking-based method to identify the product popularity that predicts regional and national rankings of products based on sales data at an early stage of a sales season. Our method enables companies to efficiently identify popular products within a remarkably short span of two to four weeks.
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服装业在销售旺季初期识别流行产品
新服装产品推出的早期阶段对于深入了解其表现并将其划分为快速销售、一般销售和缓慢销售等不同类别至关重要。我们提出了一种基于排名的新方法来识别产品的受欢迎程度,这种方法可以在销售季节的早期阶段根据销售数据预测产品的地区和全国排名。我们的方法能让公司在两到四周的极短时间内有效地识别出受欢迎的产品。
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