Predictive Provenance: Leveraging Machine Learning for Real-Time Demand Forecasting and Inventory Optimization
Keywords:
Demand Forecasting, Inventory Optimization, Machine Learning, Intermittent Demand, Uncertainty Quantification, Safety Stock, Supply Chain Analytics, TraceabilityAbstract
Retailers, distributors, and manufacturers hold inventory to protect service levels againstuncertain demand, but every unit held ties up capital and every unit missing costs a sale. Traditionalforecasting methods such as exponential smoothing and Croston-type estimators are easy to run yet struggle with intermittent, volatile, and promotion-driven demand, and they usually
References
1: A. Mahendra Vardhan and S. Sridhar, "Determining False Positive Analysis of Software Vulnerabilities with Predefined Scan Rules using Random Forest Classifier and Decision Tree Technique," 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022, pp. 622-625, DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074458
