The cost-value chain method can identify opportunities to reduce costs while increasing their value to customers or stakeholders. The present research aims to investigate the cost of operational processes in small businesses in various modalities. The improved vector system machine (IVSM) technique and matrix theory are implemented in this study to solve the cost problem. The performance of both methods is measured using several vectors and parameters. This investigation found that the significant explanatory variable is involved in classifying the cost function for the value chain system. Finally, the results of improved search quality result in higher revenue and reduced operational costs to 75% to reach tangible benefits.
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