Intelligent Invoice Processing

Case Study

60% reduction in operational costs during peak times
1min the average new time to process an invoice
480,000 invoices processed per year

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Background:

A health care analytics firm was allocating large portions of time to manually processing invoices and required faster, more efficient solutions to help with the process. Through the implementation of automation, the client reduced operational costs by 60%.

Challenge:

A health care analytics firm wanted to automate its back-office APInvoice processing by:

Automating the manual processing of the huge volume of invoices
Adapting to the numerous formats vendors use for invoicing
Ensuring payments are sent to vendors on time
Reducing the processing time

Solution:

Identified specific emails with invoice content, extracted the relevant data and processed the invoices for timely payment.

Natural Language Processing (NLP) classified emails by those with invoice attachments
Computer Vision extracted the relevant fields from the invoice
Robotic Process Automation (RPA) bots passed the extracted data to the client's ERP systems for payment to the vendors

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