• 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