Open Access
Issue
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
Article Number 01039
Number of page(s) 10
Section Digital Economics & Behavior
DOI https://doi.org/10.1051/shsconf/202522501039
Published online 13 November 2025
  1. L. Blecher, R. J. Yeh, Forecasting Meal Participation in University Residential Dining Facilities. Journal of Foodservice Business Research. 11(4), findings on moving average vs. naive (2008) forecastsresearchgate.net [Google Scholar]
  2. K. Ryu, A. Sanchez, The Evaluation of Forecasting Methods at an Institutional Foodservice Dining Facility – reported multiple linear regression as the best (2003) modelresearchgate.net [Google Scholar]
  3. R. Bevans, Multiple Linear Regression | A Quick Guide (Examples), Scribbr (2023) https://www.scribbr.com/statistics/multiple-linear-regression/ [Google Scholar]
  4. K. Raj, Ultimate Guide for ARIMA Time Series Forecasting, Dataaspirant (2023) https://dataaspirant.com/arima-time-series-forecasting [Google Scholar]
  5. M. Yurtsever, V. Tecim, Forecasting Meal Requirements Using Time Series Methods in Organization – showed ANN outperforming ARIMA and Prophet for university dining (2020) dataideas.repec.org [Google Scholar]
  6. A. Kontopoulou, et al. A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks. Future Internet. vol. 15, no. 8, 255 MDPI (2023) https://doi.org/10.3390/fi15080255 [Google Scholar]
  7. G. F. Turker, Reducing Food Waste in Campus Dining: A Data-Driven Approach to Demand Prediction and Sustainability – Sustainability, 17(2), 379. Demonstrated high accuracy of Lasso regression (R² ~0.999) and significant food waste reduction with ML (2025) modelsmdpi.commdpi.com [Google Scholar]
  8. C. Malefors, et al., Food waste reduction and economic savings… machine learning in Swedish public catering – Socio-Economic Planning Sciences, 82, highlighted random forest forecasts improving accuracy and saving costs in school meal (2022) programsresearchgate.netresearchgate.net [Google Scholar]
  9. NetSuite Business Guide, Restaurant Forecasting: How-To with Formulas – Emphasizes the role of data and technology in restaurant sales forecasting and its benefits for inventory and labor (2025) managementnetsuite.comnetsuite.com [Google Scholar]
  10. Tastewise, How Food Demand Forecasting is Shaping the Future of Foodservice – Notes that modern analytics (AI) and external factors are increasingly used to refine food demand (2024) predictionstastewise.iotastewise.io [Google Scholar]

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