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Review and analysis of artificial intelligence methods for demand forecasting in supply chain management

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References

2019Literature review as a research methodology: An overview and guidelines11,435 cited
2015Deep learning applications and challenges in big data analytics2,597 cited
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2020Machine learning demand forecasting and supply chain performance305 cited
2014Writing a literature review research paper: A step-by-step approach230 cited
2020Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail206 cited
2019UNISON data-driven intermittent demand forecast framework to empower supply chain resilience and an empirical study in electronics distribution138 cited
2017Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research62 cited

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2023

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A machine learning model with linear and quadratic regression for designing pharmaceutical supply chains with soft time windows and perishable products

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2025Risk Management and Macroeconomic Disruptions in Supply Chains: The Role of Blockchain, Digital Twins, Generative AI, and Quantum Computing34 cited

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