Facebook先知算法在基于真实数据的成功销售预测中的应用
Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data
摘要：
本文提出了一个框架，能够准确地预测未来的销售在零售业和分类的产品组合，根据预期水平的预测可靠性。该框架基于Facebook的Prophet算法和回溯测试策略，对任何在零售业运营的公司都有很大的用处。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实验获得的真实世界的销售预测基准数据被用来评估该框架，并证明其在真实世界的用例场景的能力。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
