Accenture Global Solutions Limited

Samatha Kottha

Madhura Shivaram

Prakash Ghatage

Nirav Sampat

Nagendra B Kumar

Suraj Govind Jadhav

Sawani Bade

Sumeet Sawarkar

Akanksha Juneja

Shruti Chhabra

Kaushal Mody

Praneeth Medhatithi Shishtla

Himani Bhatt

Debayan Chakraborty

Sreerekha T V

Amit Nandi

Soubhagya Ranjan Mohapatra

Madhu Sudhan H V

Ashok Kumar Shivarajan

Kedar Bhat

Karthick Selvamuthukumaran

Srinivasan Ponpathirkoottam Raghavan

A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.

Document processing using hybrid rule-based artificial intelligence (AI) mechanisms

Techniques are described for routing service requests in a computer-implemented service environment. A received service request may be initially analyzed to determine a priority of the request. In some implementations, one or more actions may be automatically performed to provide an initial response to the requester. The text of the request may be analyzed to automatically determine a category of the request. In some implementations, a classification engine may determine the category of the request through use of a classification model that has been trained using one or more machine learning (ML) techniques and/or that employs Natural Language Processing (NLP). Based on the category, the request may be routed to agent(s) for handling. Routing may include generating a ticket that includes the request, the category, the priority, and/or other information, and the ticket may be provided to the appropriate agent(s) through a ticketing service.

Learning based routing of service requests

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Bengaluru, India

Samatha Kottha