Artificial intelligence (AI) has been a key driver to reduce operational uncertainty and
improve performance in supply chain management. Due to the advent of new data gathering …

The forecasting consists of taking historical data as inputs then using them to predict future
observations, thus determining future trends. Demand prediction is a crucial component in …

Due to industrialization and the growth of transportation systems, the number of vehicles
continues to increase which causes a significant traffic jam problem especially in big cities …

Data-driven methods--such as machine learning and time series forecasting--are widely
used for sales forecasting in the food retail domain. However, for newly introduced products …

В связи с индустриализацией современного общества, ростом транспортных систем
нашей страны, увеличения определенных необходимых для развития потребностей …

The application of machine learning (ML) techniques in supply chain (SC) processes has
been gaining popularity over the last years, because ML significantly helps making the SC …

Effective supply chain inventory management is crucial for large-scale manufacturing
industries such as civil aircraft and automobile manufacturing to ensure efficient …

В настоящее время в связи с повсеместной компьютеризацией разработка систем
автоматизированного управления является актуальной. В связи с развитием малого …

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Scientific Information System Re Page 1 How to cite Complete issue More information about this …

This paper deals with the tricky issue of forecasting the number of daily orders received by a
delivery company that operates through the internet. The research tries to address the …