Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

M Seyedan, F Mafakheri - Journal of Big Data, 2020 - Springer
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

Machine learning based restaurant sales forecasting

A Schmidt, MWU Kabir, MT Hoque - Machine Learning and Knowledge …, 2022 - mdpi.com
To encourage proper employee scheduling for managing crew load, restaurants need
accurate sales forecasting. This paper proposes a case study on many machine learning …

AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry

K Blöcher, R Alt - Electronic Markets, 2021 - Springer
The restaurant technology market is rapidly evolving and is transforming the restaurant
business as a significant sector of tourism and hospitality. Enabled by artificial intelligence …

Demand forecasting with color parameter in retail apparel industry using artificial neural networks (ANN) and support vector machines (SVM) methods

I Güven, F Şimşir - Computers & Industrial Engineering, 2020 - Elsevier
In this study, product variety has been taken into account and sales forecasting has been
performed by using artificial intelligence to minimize error rate, in the retail garment industry …

Demand forecasting model using hotel clustering findings for hospitality industry

K Kaya, Y Yılmaz, Y Yaslan, ŞG Öğüdücü… - Information Processing & …, 2022 - Elsevier
Tourism has become a growing industry day by day with the developing economic
conditions and the increasing communication and social interaction ability of the people …

A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications

KD Chaudhuri, B Alkan - Applied Intelligence, 2022 - Springer
Accurate and real-time product demand forecasting is the need of the hour in the world of
supply chain management. Predicting future product demand from historical sales data is a …

Regional manufacturing industry demand forecasting: A deep learning approach

Z Dou, Y Sun, Y Zhang, T Wang, C Wu, S Fan - Applied Sciences, 2021 - mdpi.com
With the rapid development of the manufacturing industry, demand forecasting has been
important. In view of this, considering the influence of environmental complexity and …

The value of data, machine learning, and deep learning in restaurant demand forecasting: Insights and lessons learned from a large restaurant chain

BK Chae, C Sheu, EO Park - Decision Support Systems, 2024 - Elsevier
The restaurant industry has been slow to adopt analytics for the supply chain, operations,
and demand forecasting, with limited research on this sector. The COVID-19 pandemic's …

Retail Demand Forecasting Using Neural Networks and Macroeconomic Variables

MS Haque - Journal of Mathematics and Statistics Studies, 2023 - al-kindipublisher.com
With the growing competition among firms in the globalized corporate environment and
considering the complexity of demand forecasting approaches, there has been a large …

[HTML][HTML] A Bayesian approach for predicting food and beverage sales in staff canteens and restaurants

K Posch, C Truden, P Hungerländer, J Pilz - International Journal of …, 2022 - Elsevier
Accurate demand forecasting is one of the key aspects for successfully managing
restaurants and staff canteens. In particular, properly predicting future sales of menu items …