Using Transaction Data for Payment Analysis to Optimize Cash Handling in Retailing

A method to generate hypotheses on consumer payment behavior from market basket data is presented with which retailers can predict future cash requirements. This could help retailers to minimize the costs of cash management through rationalization and may also encourage the introduction of new buying incentives based on payment characteristics

Year of publication:	2011
Authors:	Buhr, Carl-Christian
Publisher:	[2011]: [S.l.] : SSRN
Subject:	Einzelhandel \| Retail trade \| Zahlungsverkehr \| Payment transactions \| Bargeldloser Zahlungsverkehr \| Noncash payments \| Konsumentenverhalten \| Consumer behaviour

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