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•Case Study: A2iA DocumentReader™ Reduces Manual Data Entry By 80 Percent For World-Leading Telecom Operator

By A2iA Corporation

Prior to implementing A2iA DocumentReader™, the pre-processing and sorting of this mail was performed manually. These tasks were slow, costly and labor-intensive that could lead to errors, and included the identification of the sender and topic of the letter, followed by the scanning of the documents. Once in electronic format, this data was transmitted to the telecom company's information system and distributed to the appropriate department or individual for follow-up.

To ensure the fastest response time and most efficient workflow, the BPO decided to automate the processing of this organization's incoming mail. The new technological solution would alleviate much of the manual work, and was required to adapt to the existing processing system.

The service bureau selected A2iA DocumentReader™ to automate the incoming mail for this client because of its ability to handle any type of writing (cursive handwritten, handprinted, or machine printed) and any type of document (unstructured or structured). This first-ever automated data capture and keyword spotting software for structured and unstructured documents allows for the classification and extraction of the contents of large volumes of handwritten letters and loosely structured fields within forms.

The result of this new solution is a more efficient workflow with reduced operating costs and a significant reduction in manual labor.

Click Here To Download:
•Case Study: A2iA DocumentReader™ Reduces Manual Data Entry By 80 Percent For World-Leading Telecom Operator