
Analysys | Cloud management and automatic verification of input VAT invoices
Enterprise overview
Analysys was founded in 2000 and is a professional technology and market analysis institution in China's digital intelligence field. From 2001 to 2005, as Gartner's strategic partner in China, it was responsible for producing analysis reports for China's IT and other industries; since 2012, it has shifted to providing digital user insights and competitive analysis services to clients using big data analysis technology. Relying on more than twenty years of analysis and data source accumulation and a mature model system, the company provides market research, industry insights, user behavior analysis, and customized consulting to thousands of enterprise clients at home and abroad. Its product family includes Analysys Qianfan, Analysys Ark, Analysys Wanxiang, Analysys Boyue, and others.
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 authenticity verification requires logging into the tax bureau end to query each one, and manual work can only spot-check, unable to cover the full volume. 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
