Determining Costs of Servicing Wholesale Institutional Grocery Orders
James J. Karitas
No 312110, Marketing Research Reports from United States Department of Agriculture, Agricultural Marketing Service, Transportation and Marketing Program
Abstract:
Excerpts from the report: This study was made to develop effective methods that institutional wholesalers can use to determine the costs of servicing various sizes of grocery orders and to examine order size-cost relationships that may affect their pricing policies. The data presented in this report show the actual costs of servicing orders of various sizes in the three firms studied. Similar cost relationships probably exist in other firms. Costs depend to a large degree on local wage rates, the characteristics of the trading territory, building and land costs, the degree of efficiency achieved, and other similar factors. This report describes the techniques used to develop detailed costs of servicing various sizes of orders, shows the servicing costs in the three firms, and illustrates a possible pricing system based on order size. Some conclusions on general pricing policies are also presented.
Keywords: Labor and Human Capital; Marketing; Research and Development/Tech Change/Emerging Technologies; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 30
Date: 1966-10
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/312110/files/mrr752.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:uamsmr:312110
DOI: 10.22004/ag.econ.312110
Access Statistics for this paper
More papers in Marketing Research Reports from United States Department of Agriculture, Agricultural Marketing Service, Transportation and Marketing Program Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().