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
fDate :
27 Jun- 2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374925