This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Coupa Software Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Javier Recasens and Automated Supply Chain Demand Forecasting.
Introduction
Javier Recasens is an inventor associated with Atlanta, Georgia, and Coupa Software Inc. His patent work addresses the use of machine learning to improve supply chain demand forecasting.
Latest Patents
Recasens is associated with one patent, titled “Automated Supply Chain Demand Forecasting.” The described method receives historical consumer-demand data, detects changepoints that may correspond to disruptive events, identifies relevant data for modeling, and performs clustering. It also processes configuration information, trains machine-learning models to evaluate additional data more accurately, and outputs results to a user display device. His record lists 1 patent.
Career Highlights
His listed invention focuses on applying data analysis and machine learning to demand forecasting. The approach is designed to account for changes in historical demand and provide users with forecasting results.
Collaborations
Recasens is listed as working at Coupa Software Inc. His coworker is Prasanna Kumar Ragavan.
Conclusion
Javier Recasens’s patent on automated supply chain demand forecasting describes a machine-learning approach for analyzing historical demand, responding to potential disruptions, and presenting results to users.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile