US Patent Issued on July 1 for "Systems and methods for dynamic demand sensing and forecast adjustment" (Canadian Inventors)

ALEXANDRIA, Va., July 3 -- United States Patent no. 12,346,921, issued on July 1.

"Systems and methods for dynamic demand sensing and forecast adjustment" was invented by Ali Khanafer (Ottawa), Behrouz Haji Soleimani (Ottawa), Sebastien Ouellet (Ottawa), Christopher Wang (Ottawa), Chantal Bisson-Krol (Ottawa) and Zhen Lin (Ottawa).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for dynamic demand sensing in a supply chain in which constantly-updated data is used to select a machine learning model or retrain a pre-selected machine learning model, for forecasting sales of a product at a specific location. The updated data includes product information and geographic information. Also disclosed...