This inventor holds 1 USPTO granted patent. Top assignee: Walmart Apollo, LLC. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations of Ying Cao in Simulation Forecasting
Introduction
Ying Cao is an accomplished inventor based in Houston, TX (US). He has made significant contributions to the field of simulation forecasting, particularly through his innovative patent. His work focuses on enhancing the accuracy and efficiency of demand forecasting in target networks.
Latest Patents
Ying Cao holds a patent titled "Systems and methods for simulation forecasting including dynamic realignment." This patent discloses systems and methods for simulation forecasting in target networks, which include dynamic realignment. The invention involves receiving a set of target nodes, including at least one demand node realignment that represents a demand volume shift for at least one corresponding distribution node within a predetermined time period. When the demand volume shift meets or exceeds a predetermined threshold, an estimated volume feature for the corresponding distribution node is generated. Conversely, if the demand volume shift is below the threshold, an actual volume feature is generated. The generated feature is then provided to a trained forecasting model to create a demand forecast data structure.
Career Highlights
Ying Cao is currently employed at Walmart Apollo, LLC, where he applies his expertise in simulation forecasting. His innovative approach has the potential to significantly improve demand forecasting processes within the company.
Collaborations
Ying Cao has collaborated with notable colleagues, including Samrat Chowdhury and Anupa Saxena. Their combined efforts contribute to advancing the field of simulation forecasting.
Conclusion
Ying Cao's innovative work in simulation forecasting exemplifies the impact of technology on demand forecasting processes. His patent and contributions to Walmart Apollo, LLC highlight his role as a leading inventor in this field.