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Inventory early warning agent in a supply chain management system

  • US 7,398,232 B2
  • Filed: 07/31/2002
  • Issued: 07/08/2008
  • Est. Priority Date: 11/14/2001
  • Status: Expired due to Term
First Claim
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1. A computer-implemented method comprising:

  • applying machine learning techniques to historical supply chain data to build a conditional probabilistic model including patterns of behavior related to consumption and replenishment activities in a supply chain;

    receiving inventory data relating to stock in an inventory;

    applying the inventory data to a conditional probabilistic predictive statistical algorithm, wherein the conditional probabilistic predictive statistical algorithm uses the conditional probabilistic model to process the inventory data and to calculate a predicted inventory level based on a supply prediction and a demand prediction, the supply prediction factoring in variability in supply chain activities;

    using the calculated predicted inventory level to determine whether to order additional stock for the inventory; and

    automatically ordering a replenishment of the inventory when the calculated predicted inventory level falls below a predetermined minimum.

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