DocumentCode
288934
Title
A neural network application - recognizing items which have reached their reorder threshold grocery wholesaling
Author
Bernard, Geoffrey D. ; Prakasam, K. Siva
Author_Institution
Spartan Stores Inc., Grand Rapids, MI, USA
Volume
6
fYear
1994
fDate
27 Jun- 2 Jul 1994
Firstpage
3655
Abstract
As a grocery wholesale cooperative, Spartan Stores, Inc. services nearly five hundred independent retailers in Michigan, Indiana, and Ohio. Part of this service involves ensuring an adequate supply and the timely delivery of grocery items on an unregulated, on-demand basis. In order to meet this service requirement in an efficient manner, Spartan purchased, installed, and heavily customized a host based procurement package. Each business day, items scheduled to be reviewed that day are analyzed to determine if they have reached their reorder point threshold. This analysis includes, among other things, the evaluation of such factors as the item´s supply versus forecasted demand ratio, its re-order point, on order quantities, and historical sales movement. Some of the areas where the use of neural applications is expected to yield significant tangible benefits are discussed
Keywords
business data processing; neural nets; stock control data processing; wholesale data processing; Spartan Stores; forecasted demand; grocery wholesaling; historical sales movement; host based procurement package; neural network; order quantities,; re-order point; Demand forecasting; Intelligent networks; Marketing and sales; Neural networks; Packaging; Pattern recognition; Procurement; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374925
Filename
374925
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