Processing any inbound document has been an essential and critical part of business for decades. However, today’s organizations have more expectations in terms of data from documents in the digital age. For example, vendors now often want payment almost instantly against the invoices sent and with zero error rate. However, this is incredibly complex process that may still require manual work.
Most commonly Inbound document data extraction is automated using OCR which is based on the document coordinates defined by the user for data extraction. This approach of coordinates-based data extraction mostly fails since the format of inbound document varies between one and another.
NSURE Intelligent Inbound Automation from our digital offerings can now harness the power of Machine Learning to recognize not just one type of inbound document, but virtually any inbound document format sent its way.
Loaded with unique features, our NSURE Intelligent Inbound Automation solution could help your business process trigger the right decision to complete the manual or traditional OCR data capture tasks in a much simpler, accurate, and efficient manner. Our solution leverages the ICR and Machine Learning capability to extract data from both structured and unstructured documents. Easy and user-friendly UI to train and define new fields and templates.
There is more that the solutions can offer you than just processing inbound documents
Better data privacy
The data extracted from the inbound documents are highly secured and complies with the best industry security and privacy standards.
Our solution improves the business productivity, decreases costs and boosts ROI by infusing continuous intelligence in the enterprise.
Minimize error-prone data entry by automatically pushing inbound document data to enterprise applications.
The data capturing speed is multifold and reduces administrative tasks and makes employees more productive
Multiuser and parallel processing
Easy to configure fields of extraction
Easy and quick training
Build custom data repository
Batch processing ability
Flexible report designing
Supports multilingual documents
Maker and Checker control for approval and track changes
Information captured and processed are quickly and seamlessly transferred to other business systems
Highlight incorrectly scanned pages and error fields for operator to take corrective actions
Create automated workflow for users at each stage
Eradicates manual data extraction and document filling
Accuracy in data classification and decision making as we use comprehensive data model
Reduces operational cost and improves employee productivity
Faster document processing
Scalable and configurable to other line of business
Ready to implement and requires minimal customization