A survey on retail sales forecasting and prediction in fashion markets

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.

[1]  P. K. Kannan,et al.  Using online search data to forecast new product sales , 2012, Decis. Support Syst..

[2]  A Hulth,et al.  Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010. , 2011, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[3]  Kichun Lee,et al.  Forecasting demand for a newly introduced product using reservation price data and Bayesian updating , 2012 .

[4]  Hamid Reza Karimi,et al.  Local Capacity $H_{\infty}$ Control for Production Networks of Autonomous Work Systems With Time-Varying Delays , 2010, IEEE Transactions on Automation Science and Engineering.

[5]  Hamid Reza Karimi,et al.  Robust production planning in fashion apparel industry under demand uncertainty via conditional value at risk , 2014 .

[6]  Yong Yu,et al.  Intelligent Fashion Forecasting Systems: Models and Applications , 2013 .

[7]  Isabell M. Welpe,et al.  Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.

[8]  Michel Happiette,et al.  A neural clustering and classification system for sales forecasting of new apparel items , 2007, Appl. Soft Comput..

[9]  Michele Grimaldi,et al.  Evaluating the Intellectual Capital of Technology Transfer and Learning Public Services , 2013 .

[10]  Na Liu,et al.  Fast fashion sales forecasting with limited data and time , 2014, Decis. Support Syst..

[11]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[12]  Ching-Chin Chern,et al.  Designing a decision-support system for new product sales forecasting , 2010, Expert Syst. Appl..

[13]  Axel Bruns,et al.  Towards Produsage: Futures for User-Led Content Production , 2006 .

[14]  V. Dhar,et al.  Does Chatter Matter? The Impact of User-Generated Content on Music Sales , 2007 .

[15]  Yong Yu,et al.  Color Trend Forecasting of Fashionable Products with Very Few Historical Data , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Sébastien Thomassey,et al.  Sales forecasts in clothing industry: The key success factor of the supply chain management , 2010 .

[17]  Wai Keung Wong,et al.  A seasonal discrete grey forecasting model for fashion retailing , 2014, Knowl. Based Syst..

[18]  R. Fildes,et al.  Measuring forecasting accuracy : the case of judgmental adjustments to SKU-level demand forecasts , 2013 .

[19]  Klaus-Dieter Thoben,et al.  The Usage of Social Media Text Data for the Demand Forecasting in the Fashion Industry , 2014, LDIC.

[20]  Laurent Mouchard,et al.  A fast and efficient algorithm for mapping short sequences to a reference genome. , 2010, Advances in experimental medicine and biology.

[21]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[22]  Y. Glupczynski,et al.  Rapid emergence of carbapenemase-producing Enterobacteriaceae isolates in Belgium. , 2011, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[23]  Torsten Schmidt,et al.  Forecasting Private Consumption: Survey-Based Indicators vs. Google Trends , 2009 .

[24]  Bernardo A. Huberman,et al.  Predicting the Future with Social Media , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[25]  Yong Yu,et al.  Fashion retail forecasting by evolutionary neural networks , 2008 .

[26]  Steven C. Wheelwright,et al.  Forecasting methods and applications. , 1979 .

[27]  Klaus-Dieter Thoben,et al.  Integration of supply networks for customization with modularity in cloud and make-to-upgrade strategy , 2013 .

[28]  Samantha Fitzpatrick,et al.  Theories and Applications , 2014 .

[29]  F. Piller,et al.  Customer co-creation: moving beyond market research to reduce the risk in new product development , 2012 .

[30]  Pilsung Kang,et al.  Pre-launch new product demand forecasting using the Bass model: : A statistical and machine learning-based approach , 2014 .

[31]  René de Koster,et al.  Forecasting demand for single-period products: A case study in the apparel industry , 2011, Eur. J. Oper. Res..

[32]  David M. Pennock,et al.  Using internet searches for influenza surveillance. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[33]  Yong Yu,et al.  Intelligent time series fast forecasting for fashion sales: A research agenda , 2011, 2011 International Conference on Machine Learning and Cybernetics.

[34]  Michael Teucke,et al.  Forecasting of Seasonal Apparel Products , 2014, LDIC.

[35]  Wing-Keung Wong,et al.  A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm , 2010 .

[36]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[37]  Tsan-Ming Choi,et al.  Sales Forecasting for Fashion Retailing Service Industry: A Review , 2013 .

[38]  Eric Gilbert,et al.  Widespread Worry and the Stock Market , 2010, ICWSM.

[39]  Mizuki Morita,et al.  Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter , 2011, EMNLP.

[40]  Brendan T. O'Connor,et al.  From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.

[41]  Craig S. Miller.  Predicting the future. , 2016, Oral surgery, oral medicine, oral pathology and oral radiology.

[42]  Philip Hans Franses,et al.  Do statistical forecasting models for SKU-level data benefit from including past expert knowledge? , 2013 .

[43]  Kenneth B. Kahn.  Solving the problems of new product forecasting , 2014 .

[44]  Yong Yu,et al.  Sales forecasting using extreme learning machine with applications in fashion retailing , 2008, Decis. Support Syst..

[45]  Yanrong Ni,et al.  A two-stage dynamic sales forecasting model for the fashion retail , 2011, Expert Syst. Appl..

[46]  Chen-Yuan Chen,et al.  Retracted: A hybrid artificial intelligence sales‐forecasting system in the convenience store industry , 2012 .

[47]  Fabian J. Theis,et al.  Advances in Computational Biology , 2010 .

[48]  Chaman L. Jain.  Benchmarking Forecasting Software and Systems , 2002 .

[49]  Panagiotis Takis Metaxas,et al.  Limits of Electoral Predictions Using Twitter , 2011, ICWSM.

[50]  Steven C. Wheelwright,et al.  Forecasting: Methods and Applications, 3rd Ed , 1997 .

[51]  Richard Weber,et al.  Improved supply chain management based on hybrid demand forecasts , 2007, Appl. Soft Comput..

[52]  Klaus-Dieter Thoben,et al.  Dynamics in Logistics, Proceedings of the 4th International Conference LDIC 2014, Bremen, Germany, February 10-14, 2014 , 2016, LDIC.

[53]  H. Varian,et al.  Predicting the Present with Google Trends , 2009 .

[54]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[55]  C Kelly,et al.  BULLETIN EUROPÉEN SUR LES MALADIES TRANSMISSIBLES / EUROPEAN COMMUNICABLE DISEASE BULLETIN , 2003 .

[56]  A. Kai Qin,et al.  Evolutionary extreme learning machine , 2005, Pattern Recognit..

[57]  Gunther Eysenbach,et al.  Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance , 2006, AMIA.

[58]  A. Smeaton,et al.  On Using Twitter to Monitor Political Sentiment and Predict Election Results , 2011 .

[59]  P. Goodwin,et al.  Judgmental forecasting: A review of progress over the last 25 years , 2006 .

[60]  Hamid Reza Karimi,et al.  The Impact of the Subsidy Policy on Total Factor Productivity: An Empirical Analysis of China's Cotton Production , 2013 .

[61]  Kenji Tanaka,et al.  A sales forecasting model for new-released and nonlinear sales trend products , 2010, Expert Syst. Appl..

[62]  Wen Gu,et al.  Computer-Assisted Color Database For Trend Forecasting , 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

[63]  Maria Elena Nenni,et al.  Demand Forecasting in the Fashion Industry: A Review , 2013 .

[64]  P. Gloor,et al.  Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” , 2011 .

[65]  David M. Pennock,et al.  Predicting consumer behavior with Web search , 2010, Proceedings of the National Academy of Sciences.

[66]  Mehdi Khashei,et al.  A novel hybridization of artificial neural networks and ARIMA models for time series forecasting , 2011, Appl. Soft Comput..

[67]  Courtney Corley,et al.  Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance , 2010, Comput. Methods Programs Biomed..