Verint Systems has patented a method and system for real-time predictive scheduling. The system analyzes workload and personnel data to create an initial schedule, then adjusts in real-time based on deviations from schedule adherence. This technology aims to optimize customer service representative allocation efficiently. GlobalData’s report on Verint Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Verint Systems, Network traffic analysis was a key innovation area identified from patents. Verint Systems's grant share as of April 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Real-time predictive scheduling method and system

A recently granted patent (Publication Number: US11961050B2) discloses a method and system for real-time predictive scheduling. The method involves receiving historic incoming workloads and personnel data, generating an initial schedule based on analysis and rules, routing work items in real-time, and updating the schedule based on workload and personnel data updates. The system includes a processor and computer-readable medium programmed to execute the method, ensuring efficient allocation of work based on real-time data and analytics.
The patented technology allows for the generation of updated schedules based on deviations from the initial schedule, ensuring optimal routing of incoming work to workload queues. By incorporating historical work patterns and personnel skills, the system can adapt to changing workloads and personnel data in real-time. Additionally, the system can generate backlog information, compare it to the initial schedule, and provide feedback on the impact of the updated schedule on backlog management. This feedback loop enables continuous optimization of scheduling processes, enhancing overall efficiency and productivity in various industries.
To know more about GlobalData’s detailed insights on Verint Systems, buy the report here.
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