Computing Nodes for Performing Optimization Using Artificial Intelligence and Mixed Integer Programming
Dossier Overview
Applicant
The Boston Consulting Group, Inc.
Inventor
Roger FORCADA MARGARIT; Jaume MUNTSANT SORIA; Jens Johan Daniel ELIASSON; Kriti SRIVASTAVA; Xinghong MIAO; Nicolas Peter GUELZOW; Vahid RASHIDI; Zijia XU; Javier ANTA CALLERSTEN; Stefano TODESCAN; Sebastian BAK ADAMEK; Marcus Johan Adam LIND
IPC Classification
CPC Classification
In an example implementation, a cloud computing platform receives input data including historical data representing a plurality of first items and a plurality of stores associated with the plurality of first items, and generates a plurality of first data structures. Further, the system uses an artificial intelligence (AI) system to adaptively cluster the first data structures according to item metrics into a plurality of clusters, and classify a plurality of second items into the plurality of clusters based on the centroids. Further, the system determines, using a predictive computer model, a markdown plan for at least one of the first items or the second items associated with that cluster, and optimizes the markdown plan using mix integer programming.
Original (Chinese)
In an example implementation, a cloud computing platform receives input data including historical data representing a plurality of first items and a plurality of stores associated with the plurality of first items, and generates a plurality of first data structures. Further, the system uses an artificial intelligence (AI) system to adaptively cluster the first data structures according to item metrics into a plurality of clusters, and classify a plurality of second items into the plurality of clusters based on the centroids. Further, the system determines, using a predictive computer model, a markdown plan for at least one of the first items or the second items associated with that cluster, and optimizes the markdown plan using mix integer programming.
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