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A hybrid seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting

Citations

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Cited by:

  1. Md. Iftekharul Alam Efat & Petr Hajek & Mohammad Zoynul Abedin & Rahat Uddin Azad & Md. Al Jaber & Shuvra Aditya & Mohammad Kabir Hassan, 2024. "Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales," Annals of Operations Research, Springer, vol. 339(1), pages 297-328, August.
  2. Marcel Panzer & Norbert Gronau, 2024. "Designing an adaptive and deep learning based control framework for modular production systems," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4113-4136, December.
  3. Egor V. Dudukalov & Galymzhan O. Spabekov & Liudmila V. Kashirskaya & Andrei V. Sevbitov & Olga Yurievna Voronkova & Lidia Vasyutkina, 2020. "Fiscal goals of regulating the activities of the institute of controlled foreign companies in the digital economy," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 972-983, December.
  4. Ulrich, Matthias & Jahnke, Hermann & Langrock, Roland & Pesch, Robert & Senge, Robin, 2022. "Classification-based model selection in retail demand forecasting," International Journal of Forecasting, Elsevier, vol. 38(1), pages 209-223.
  5. Naragain Phumchusri & Nichakan Phupaichitkun, 2024. "Sales prediction hybrid models for retails using promotional pricing strategy as a key demand driver," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 461-480, October.
  6. Liu, Hsiu-Wen, 2024. "Mining spatial-temporal patterns from customer data to improve forecasting of customer flow across multiple sites," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
  7. Ma, Shaohui & Fildes, Robert, 2021. "Retail sales forecasting with meta-learning," European Journal of Operational Research, Elsevier, vol. 288(1), pages 111-128.
  8. Hongzhe Zhang & Xiaohang Zhao & Xiao Fang & Bintong Chen, 2024. "Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model," Information Systems Research, INFORMS, vol. 35(2), pages 528-550, June.
  9. Li, Xishu & Yin, Ying & Manrique, David Vergara & Bäck, Thomas, 2021. "Lifecycle forecast for consumer technology products with limited sales data," International Journal of Production Economics, Elsevier, vol. 239(C).
  10. de Souza, Michele & Pereira, Giancarlo Medeiros & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose & Trento, Luiz Reni & Borchardt, Miriam & Zvirtes, Leandro, 2021. "A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  11. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
  12. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
  13. Manuel Muth & Michael Lingenfelder & Gerd Nufer, 2025. "The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review," Management Review Quarterly, Springer, vol. 75(3), pages 2759-2802, September.
  14. Bin Shen & Hau-Ling Chan, 2017. "Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-26, February.
  15. Erjiang E & Ming Yu & Xin Tian & Ye Tao, 2022. "Dynamic Model Selection Based on Demand Pattern Classification in Retail Sales Forecasting," Mathematics, MDPI, vol. 10(17), pages 1-16, September.
  16. Francisco Carlos Vaz Sales & Michele De Souza & Luiz Reni Trento & Giancarlo Medeiros Pereira & Miriam Borchardt & Gabriel Sperandio Milan, 2023. "Food Waste in Distribution: Causes and Gaps to Be Filled," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
  17. Jan MareÄ ek, 2016. "Usage of Generalized Regression Neural Networks in Determination of the Enterprise’s Future Sales Plan," Littera Scripta, VSTE, vol. 9(3), pages 32-41, May.
  18. Jaromír Vrbka, 2016. "Predicting Future GDP Development by Means of Artificial Intelligence," Littera Scripta, VSTE, vol. 9(3), pages 154-167, May.
  19. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
  20. Jian Liu & Chunlin Liu & Lanping Zhang & Yi Xu, 2020. "RETRACTED ARTICLE: Research on sales information prediction system of e-commerce enterprises based on time series model," Information Systems and e-Business Management, Springer, vol. 18(4), pages 823-836, December.
  21. Tine Van Calster & Filip Van den Bossche & Bart Baesens & Wilfried Lemahieu, 2020. "Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective," Papers 2002.00949, arXiv.org.
  22. Huber, Jakob & Stuckenschmidt, Heiner, 2020. "Daily retail demand forecasting using machine learning with emphasis on calendric special days," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1420-1438.
  23. Huber, Jakob & Stuckenschmidt, Heiner, 2021. "Intraday shelf replenishment decision support for perishable goods," International Journal of Production Economics, Elsevier, vol. 231(C).
  24. Ma, Shaohui & Fildes, Robert, 2020. "Forecasting third-party mobile payments with implications for customer flow prediction," International Journal of Forecasting, Elsevier, vol. 36(3), pages 739-760.
  25. Bingnan Yang & Xianhao Xu & Yeming Gong & Yacine Rekik, 2024. "Data-driven optimization models for inventory and financing decisions in online retailing platforms," Annals of Operations Research, Springer, vol. 339(1), pages 741-764, August.
  26. Alan Dasilva & Helton Saulo & Roberto Vila & Jose A. Fiorucci & Suvra Pal, 2024. "Parametric quantile autoregressive moving average models with exogenous terms," Statistical Papers, Springer, vol. 65(3), pages 1613-1643, May.
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