MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621078817 A) filed by Anuja Rajesh Jadhav on June 26, 2026, for A System And Method For Service Quality Drift Prediction Using Time-Series Sla Baseline Deviation, Complaint Taxonomy Shift Detection, Queue Pressure Scoring, Sentiment Decay Analysis, And Response Playbook Routing.
Inventors include Anuja Rajesh Jadhav; and Gaurav.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to an artificial intelligence based service quality drift prediction system and method for detecting gradual deterioration in service delivery before formal failure occurs. The system receives service request records, service level agreement data, complaint category data, queue load data, response time history, sentiment indicators, escalation records, and service unit performance signals. The system calculates SLA baseline deviation, complaint taxonomy shift, queue pressure score, sentiment decay score, escalation likelihood, and service quality drift score. The invention generates explainable reason codes and routes response playbooks according to service drift type such as delayed response, repeated complaint category, queue overload, negative sentiment trend, escalation clustering, or service owner delay. The invention enables preventive correction of service quality deterioration before it becomes a critical complaint, regulatory issue, or institutional trust problem.
Disclaimer: Curated by HT Syndication.
