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Optimizing inventory management through AI-driven demand forecasting for improved supply chain responsiveness and accuracy
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Optimizing inventory management through AI-driven demand forecasting for improved supply chain responsiveness and accuracy (2025)Optimizing inventory management through A…Data-Intensive Inventory Forecasting with Artificial Intelligence Models for Cross-Border E-Commerce Service Automation (2023)Data-Intensive Inventory Fore…AI in Inventory Management: Applications, Challenges, and Opportunities (2023)AI in Inventory Management: A…Forecasting accuracy influence on logistics clusters activities: The case of the food industry (2019)Forecasting accuracy influenc…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Forecasting methods and applications (1993)A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)Machine learning demand forecasting and supply chain performance (2020)The impact of supply chain integration on performance: A contingency and configuration approach (2009)Supply chain resilience in the global financial crisis: an empirical study (2011)Sustainable business model innovation: A review (2018)Drone as a Service (DaaS) in promoting cleaner agricultural production and Circular Economy for ethical Sustainable Supply Chain development (2020)Forecast of biofuel production and consumption in top CO2 emitting countries using a novel grey model (2020)Supply chain resilience and its key performance indicators: an evaluation under Industry 4.0 and sustainability perspective (2022)Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)A Review on Data Cleansing Methods for Big Data (2019)A XGBOOST RISK MODEL VIA FEATURE SELECTION AND BAYESIAN HYPER-PARAMETER OPTIMIZATION (2019)Development of a Time Series E-Commerce Sales Prediction Method for Short-Shelf-Life Products Using GRU-LightGBM (2024)Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions (2024)Application of artificial intelligence in demand planning for supply chains: a systematic literature review (2025)The role of artificial intelligence in supply chain management: mapping the territory (2022)Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature (2023)Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning (2023)
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References

  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 2023Data-Intensive Inventory Forecasting with Artificial Intelligence Models for Cross-Border E-Commerce Service Automation77 cited
  • 2019Forecasting accuracy influence on logistics clusters activities: The case of the food industry59 cited
  • 2023AI in Inventory Management: Applications, Challenges, and Opportunities42 cited

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