A survey on retail sales forecasting and prediction in fashion markets

被引：39

作者：

Beheshti-Kashi, Samaneh ^{[1
,2
]}

Karimi, Hamid Reza ^{[3
]}

Thoben, Klaus-Dieter ^{[2
]}

Lutjen, Michael ^{[2
]}

Teucke, Michael ^{[2
]}

机构：

[1] Univ Bremen, Int Grad Sch Dynam Logist IGS, Bremen, Germany

[2] Univ Bremen, Planning & Control Prod Syst PSPS, BIBA Bremer Inst Prod & Logist GmbH, D-28359 Bremen, Germany

[3] Univ Agder, Fac Engn & Sci, Dept Engn, N-4898 Grimstad, Norway

来源：

SYSTEMS SCIENCE & CONTROL ENGINEERING | 2015年 / 3卷 / 01期

关键词：

manufacturing; data mining; prediction; planning;

D O I：

10.1080/21642583.2014.999389

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Sales forecasting is an essential task in retailing. In particular, consumer-oriented markets such as fashion and electronics face uncertain demands, short life cycles and a lack of historical sales data which strengthen the challenges of producing accurate forecasts. This survey paper presents state-of-the-art methods in the sales forecasting research with a focus on fashion and new product forecasting. This study also reviews different strategies to the predictive value of user-generated content and search queries.

引用

页码：154 / 161

页数：8

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