Intelligent matching: integrating efficiencies in the financial supply chain

Purpose - The purpose of this paper is to develop a better understanding of supply chain management in the financial services industry by examining information flow in improving efficiencies (i.e. material, information, capital, etc.) via intelligent matching. Design/methodology/approach - The objective was to address the issues specific to financial services organizations in intelligent matching, examining organizational, technological and application aspects. In order to address these issues, we have utilized an exploratory research methodology, based on a literature review and some initial case studies. Findings - Drivers for intelligent matching solutions have been suggested in this research to include the ability to link financial matching activities to other supply chain activities. Further integration of business processes, both within and between enterprises, will require both human and computational intelligence to approach efficiencies in automation. Research limitations/implications - Supply chain efficiencies enabled by financial products and information give organizations greater visibility over their receivables, working capital needs, and overall financial position. Limitations of this research include a small sampling of case studies; future research will include a wider scope of cases as to test the findings. Practical implications - Interoperability of information between the physical movement of goods and financial information within supply chains is key to realizing cost-reduction and revenue-enhancement advantages. Originality/value - This paper discusses a potential area for extending our understanding of supply chains and the role of information flow in improving efficiencies, especially in the financial services industry.