Patent ID: 11966840
Assignee: NOODLE ANALYTICS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  B | IPC G

Claim 11:
12. A system comprising:
a memory comprising instructions; and
one or more computer processors, wherein the instructions, when executed by the one or more computer processors, cause the system to perform operations comprising:
building a deep probabilistic decision machine (DPDM) using historical and current data from a real process and using knowledge of causal interactions, a state of the real process comprising actions, conditions, sensors, and targets of the process;
representing, by a deep probabilistic (DP) simulated process of the DPDM, a current state of the real process based on a past sequence of actions, conditions, sensors, and targets;
predicting, by the DP simulated process of the DPDM, a next state for simulated actions and conditions at the current state of the real process;
predicting, by the DP simulated process of the DPDM, a next target and sensor observations based on the predicted next state of the real process; and
generating and selecting, by a decision-making (DM) controller of the DPDM, simulated actions for conditions at the current state to maximize a total cumulative utility over a future predicted sequence;
wherein the real process is for demand prediction and supply chain management for stock-keeping units (SKUs) at sales and distribution centers in respective regions of a supply chain; the actions including price and promotions influencing demand, expedite shipments, inventory rebalancing, and production changes influencing supply; the targets including a value at risk (VAR) based on lost sales, inventory holding costs, expedite costs, obsolescence costs, contractual penalties, and sales order volume over time.