CPC G06Q 40/06 (2013.01) [G06N 20/00 (2019.01); G06Q 10/0833 (2013.01)] | 24 Claims |
1. A computer-implemented method for determining an action with respect to a given portfolio of items for supply chain management, comprising:
acquiring, by a hardware processor, a feature vector for supply chain delivery trends, the given portfolio, and a current investment amount;
determining, by the hardware processor, whether a current supply chain delivery situation is normal or abnormal based on the feature vector;
performing a risk-avoidance action to reduce the current investment amount and avoid potential supply chain delivery losses, responsive to a determination that the current supply chain delivery situation is abnormal; and
performing a risk adaptive action to increase the current investment amount and incur potential supply chain delivery gains by using a distributional reinforcement learning process, responsive to a determination that the current supply chain delivery situation is normal, including dispatching and controlling additional autonomous vehicles to handle an increase in supply chain deliveries.
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