E-Business Intelligent Agents
to Reduce Excess Inventory
and to Select Financial Payment
Methods
Blaine Garfolo
San Francisco State University
1600 Holloway Avenue
San Francisco, CA, 94132
1-415-338-6083
bgarfolo@sfsu.edu
Paul Beckman
San Francisco State University
1600 Holloway Avenue
San Francisco, CA, 94132
1-415-338-6240
pbeckman@sfsu.edu
One problem that
small businesses in the United States face is that of dispensing with excess
inventory. Large organizations, due to
their greater amounts of capital, may have explicitly defined business
processes or even departments whose existence is based solely on dealing with
excess inventory. This is not a small
problem, even for small businesses; the total excess inventory held by U.S.
small businesses totals many billions of dollars. The opposite side of this issue is that of individual purchasers
attempting to find products for prices they are willing to pay, and with
financial tools that they would most like to use.
This research
project involved construction and implementation of dual intelligent agents to
overcome the small business excess inventory AND the individual purchaser
product location problems. The premise
of the project and experiment was that intelligent agents acting on behalf of
both seller and buyer would improve both the excess inventory position of the
seller AND the product location and purchase process of the buyer. The results of the experiment show that
sellers can sell their excess inventory at higher prices, and that buyers can
find products they might otherwise miss and can automatically purchase those
products using their preferred financial tools or methods.
“1992 and 1997
Economic Census” (Updated August, 2002), U.S. Census, www.census.gov.
“Economic Statistics
and Research”, 2003, Office of Advocacy, United States Small Business
Administration.
“Turning Surplus
into Sales”, BusinessWeek Online, November 20, 2000.
Garfolo, B. “An Intelligent System to Help Small
Business Dispose of Excess Inventory”, Proceedings Of The Thirty-Third Annual
Meeting Of The Western Decision Sciences Institute, Manzanillo, Mexico, April
13-17, 2004.
Presented at and
published in The Conference Proceedings of the 5th Annual Hawaii
International Conference on Business, May 26-29, 2005, Honolulu, HI.