Predictive data analytics is a significant research focus in multiple Artificial Intelligence and Internet of thing incorporated supply chain management applications of the Micro Small Medium Enterprises. Performance of the predictive analytics depends on the quality of data clustering representation in terms of effectiveness and efficiency of supply chain data which contains high. Machine learning is a traditional approach of the predictive big data analytics to provide soft partition of supply chain data on forecasting the product demand to multiple customer base in the globalization market of MSME service industries but faces large complication due to increasing sparsity of data and increasing difficulties in distinguishing distance among data instances, especially it is highly complex in managing high dimensional data with complex latent distributions.