Chengdu Tuolan Technology | Invoice Verification + OCR Recognition

Enterprise overview

Chengdu Tuolan Technology Co., Ltd. is an enterprise providing software development and technical services.

Business pain points

• Expenditures are concentrated in several categories: technical services, channel promotion, content production, office, and travel. There are many suppliers, short settlement cycles, and small per-transaction amounts with dense transaction volumes. Invoice images are photographed and uploaded by the handler, and shooting angle, lighting, and wrinkles all affect readability. During financial review, the original documents often need to be checked again. Under spot-check methods, abnormal invoices are often only exposed during the certification stage, by which time the business has already completed payment
• Voided invoices and red-flushed invoices mixed into accounts directly affect input VAT deduction and cost recognition. Entry errors will propagate along authentication, deduction, and vouchers, making post-correction costly
• Duplicate reimbursement relies on memory and ledger comparison, and duplicates across periods and departments are hard to detect. After China Golden Tax Phase IV, tax comparison tends toward full quantification; once invoice authenticity has problems, it directly affects deductions, and spot-check verification can no longer cover regulatory requirements

Solutions

• Make recognition and verification an automatic step in the business process, completing data retrieval, authenticity verification, duplicate checking, and compliance validation upon invoice submission
• Anomalous invoices trigger immediate alerts and are returned to the handler, no longer entering subsequent processes
• Recognition results are retained together with verification records, forming traceable handling traces
• Ultimately shifts finance from checking one by one to handling only exceptions, improving both invoice processing efficiency and accuracy
• At the same time, complete recognition and verification traces are retained, providing a basis for subsequent audit tracing and error analysis