18130669. SYSTEM AND METHOD FOR DYNAMIC AUTOMATED WORK ASSIGNMENT simplified abstract (JPMorgan Chase Bank, N.A.)
Contents
SYSTEM AND METHOD FOR DYNAMIC AUTOMATED WORK ASSIGNMENT
Organization Name
Inventor(s)
Jonathan Alfonso of Tampa FL (US)
Susheel Bonthala of Valrico FL (US)
SYSTEM AND METHOD FOR DYNAMIC AUTOMATED WORK ASSIGNMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18130669 titled 'SYSTEM AND METHOD FOR DYNAMIC AUTOMATED WORK ASSIGNMENT
The abstract describes a method and system for automated work assignment, which involves storing case and operator information, determining case requirements and restrictions, using a machine learning algorithm to match operator candidates to the case, assigning the case to an operator's work bucket, tracking case progress, updating availability information, calculating operator performance attributes upon case completion, inputting performance attributes to the machine learning algorithm, and updating the algorithm for future processing.
- Simplified Explanation:
The patent application outlines a system that automates work assignment by matching cases with suitable operators using a machine learning algorithm, tracking progress, and updating performance attributes for continuous improvement.
- Key Features and Innovation:
- Automated work assignment based on case requirements and operator availability - Utilization of a machine learning algorithm for matching operators to cases - Tracking case progress and updating availability information - Calculating and inputting operator performance attributes for algorithm optimization
- Potential Applications:
- Streamlining work assignment processes in various industries - Enhancing efficiency and productivity in task allocation - Improving resource management and performance tracking
- Problems Solved:
- Manual work assignment inefficiencies - Lack of optimized operator-case matching - Limited visibility into operator performance attributes
- Benefits:
- Increased efficiency and accuracy in work assignment - Enhanced operator productivity and performance tracking - Continuous improvement through machine learning algorithm optimization
- Commercial Applications:
"Automated Work Assignment System for Enhanced Operational Efficiency and Performance Tracking"
- Prior Art:
Further research can be conducted in the field of automated work assignment systems and machine learning algorithms for task allocation.
- Frequently Updated Research:
Stay updated on advancements in machine learning algorithms for work assignment optimization and performance tracking.
Questions about Automated Work Assignment System: 1. How does the system determine the availability of operator candidates matching case requirements? 2. What are the key benefits of using a machine learning algorithm for work assignment optimization?
Original Abstract Submitted
A method and system for performing automated work assignment are disclosed. The method includes storing information of a case and operator, determining a requirement and restriction of the case, and determining, using a machine learning algorithm, availability of operator candidates matching the requirement and the restriction of the case. The method further includes assigning the case to a work bucket of the operator based on the requirement and restriction of the case, tracking a progress of the case and updating availability information of the case that is assigned. Once the case is determined to be completed, calculating attributes of performance of the operator when the case is determined to have been completed, inputting the calculated attributes of performance to the machine learning algorithm, and updating the machine learning algorithm with the calculated attributes of performance for subsequent processing by the machine learning algorithm.
