Measured data verifies its efficiency advantage: when processing 1,000 insurance claims, traditional manual entry requires 40 man-hours, while batch processing using the platform takes only 2 hours (including verification time). Its Beta workflow canvas supports drag-and-drop process design, such as end-to-end automation of "uploading medical reports → extracting diagnostic codes → synchronizing with hospital ERP → triggering claims approval", which compresses the business process from 3 days to 15 minutes.
Efficiency gains from three major technological innovations: 1) distributed file processing engine supports parallel parsing; 2) intelligent field mapping technology automatically matches similar data in different formats; 3) real-time preview function allows mid-course corrections. Application cases in the logistics industry show that the processing speed of delivery orders has increased from 8 minutes/single to 5 seconds/single, and the error rate has dropped by 92%.
This answer comes from the articleCloudsquid: upload documents and describe requirements for intelligent extraction of structured dataThe
