论文标题
Facebook的先知算法应用于基于现实数据的成功销售预测
Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data
论文作者
论文摘要
本文提出了一个框架，该框架能够准确地预测零售行业的未来销售，并根据预测可靠性的预期水平对产品组合进行分类。拟议的框架（对于在零售行业开展业务的任何公司都非常有用），是基于Facebook的先知算法和进行回测的策略。现实世界中的销售预测基准数据在波斯尼亚和黑塞哥维那最大的零售公司之一的生产环境中获得实验获得的基准数据，用于评估框架，并在现实世界中的用例情况下证明了其能力。
This paper presents a framework capable of accurately forecasting future sales in the retail industry and classifying the product portfolio according to the expected level of forecasting reliability. The proposed framework, that would be of great use for any company operating in the retail industry, is based on Facebook's Prophet algorithm and backtesting strategy. Real-world sales forecasting benchmark data obtained experimentally in a production environment in one of the biggest retail companies in Bosnia and Herzegovina is used to evaluate the framework and demonstrate its capabilities in a real-world use case scenario.
