Company Filing History:
Years Active: 2021-2022
Title: Innovations by John Schroder
Introduction
John Schroder is an accomplished inventor based in Bothell, WA (US). He has made significant contributions to the field of predictive delivery planning and resource capacity management. With a total of 2 patents, his work focuses on enhancing the efficiency of delivery systems.
Latest Patents
One of John Schroder's latest patents is titled "Predicting demand for route generation." This invention describes a predictive delivery planning system that includes a forecaster predicting simulated orders for various demand scenarios. The system generates routes for delivering both simulated and actual customer orders, converting these routes into labor plans that indicate the time required for delivery drivers. Additionally, the planning system identifies labor blocks and determines whether they meet a utilization threshold, allowing drivers to select labor blocks based on their expected utilization.
Another notable patent is "Resource capacity management." This system and method focus on capacity management based on the location and status of flexible service resources. It assesses whether the system can accept requests for pick-up points based on the density and characteristics of nearby delivery resources. The system also utilizes historical delivery performance to evaluate service offerings for specific requests.
Career Highlights
John Schroder is currently employed at Amazon Technologies, Inc., where he applies his innovative ideas to improve delivery systems. His work has been instrumental in developing solutions that enhance operational efficiency and customer satisfaction.
Collaborations
John has collaborated with talented individuals such as Prashanth Paramanandan and Rajeev Damani, contributing to the advancement of technology in the delivery sector.
Conclusion
John Schroder's innovative patents and contributions to Amazon Technologies, Inc. demonstrate his commitment to improving delivery systems. His work in predictive delivery planning and resource capacity management showcases the potential for technology to enhance efficiency in logistics.