Cloudsquid is particularly well suited for key scenarios in the following industries:
- Finance and Accounting::
- Automatically extracts vendor name, amount, tax code and other fields from invoices
- Batch processing of bank statements and generation of financial analysis reports
- insurance industry::
- Quickly extract core data such as accident date and loss amount from claim files
- Automatically synchronize customer information to the claims system
- Energy & Manufacturing::
- Analyzing equipment parameters and specification data in technical documentation
- Analyzing price trends in vendor quotations
- Logistics & Retail::
- Extracting goods codes and consignee information from delivery notes
- Automated processing of scanned copies of customer orders
Typical benefits include:
- Processing efficiency increased by more than 80%, and manual entry that would have taken hours can be shortened to minutes.
- Reduce error rate to below 1% to avoid manual entry omissions
- Realize end-to-end automation of business processes, such as the fully automated flow of "scanned parts → data extraction → ERP update".
According to the actual case, after a solar energy company used it, the time to process 500 quotations was reduced from 3 days to 20 minutes, and the data can be directly imported into the analysis system.
This answer comes from the articleCloudsquid: upload documents and describe requirements for intelligent extraction of structured dataThe
May not be reproduced without permission:AI productivity tools " What industries and scenarios are best suited for data automation with Cloudsquid?
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