Big Data Statistics: Methods, Gaps, And Prospects For Supply-Chain Managing

Big Data Analytics (BDA) in supply-chain management (SCM). This is because BDA may be used for a variety of SCM tasks, such as customer behavior assessment, market analysis, and forecasting. To provide a categorization of these implementations, pinpoint the gaps, as well as provide recommendations for further study, we look into the predicting BDA applications in supplier load forecasting in this assessment. Time-series forecasts, sorting, KNN, artificial neural, multiple regressions, svms, and regressors are just some of the techniques we categorise along with their uses in logistics management. This assessment also suggests research directions for the future by highlighting the paucity of published literature on BDA uses for sales forecasts with in context of shuttered supply chains.