WNS
117 Case Studies
A WNS Case Study
WNS partnered with a UK-based pet insurer facing challenges in claims processing due to incomplete information and fraud, which delayed settlements and strained resources. The client sought an automated data extraction solution to mine critical information from varied documents like invoices and medical histories.
WNS implemented its SKENSE automated data extraction solution, using data labeling to train a machine learning model to classify documents and extract key details. This WNS solution led to a 50 percent increase in data labeling productivity, improved model accuracy, and reduced average handling time per document, accelerating claims cycles and enhancing customer satisfaction.
Insurance Data Labeling Automation for Faster Claims