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Sales Forecasting for Fashion Retailing Service Industry: A Review

Author

Listed:
  • Na Liu
  • Shuyun Ren
  • Tsan-Ming Choi
  • Chi-Leung Hui
  • Sau-Fun Ng

Abstract

Sales forecasting is crucial for many retail operations. It is especially critical for the fashion retailing service industry in which product demand is very volatile and product’s life cycle is short. This paper conducts a comprehensive literature review and selects a set of papers in the literature on fashion retail sales forecasting. The advantages and the drawbacks of different kinds of analytical methods for fashion retail sales forecasting are examined. The evolution of the respective forecasting methods over the past 15 years is revealed. Issues related to real-world applications of the fashion retail sales forecasting models and important future research directions are discussed.

Suggested Citation

  • Na Liu & Shuyun Ren & Tsan-Ming Choi & Chi-Leung Hui & Sau-Fun Ng, 2013. "Sales Forecasting for Fashion Retailing Service Industry: A Review," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:738675
    DOI: 10.1155/2013/738675
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    Cited by:

    1. Yajaira Cardona-Valdés & Samuel Nucamendi-Guillén & Rodrigo E. Peimbert-García & Gustavo Macedo-Barragán & Eduardo Díaz-Medina, 2020. "A New Formulation for the Capacitated Lot Sizing Problem with Batch Ordering Allowing Shortages," Mathematics, MDPI, vol. 8(6), pages 1-16, June.
    2. Giovanni Battista Gardino & Rosa Meo & Giuseppe Craparotta, 2021. "Multi-view Latent Learning Applied to Fashion Industry," Information Systems Frontiers, Springer, vol. 23(1), pages 53-69, February.

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