Case Studies

Normalizing data across multiple SaaS products

Estimated reading time: 2 minutes

Customer: Top-10 business process outsourcing corporation

Challenge: Invoice processing across languages and SaaS systems was taking thousands of person-hours to do manually

Solution: Document processing solution to normalize data and free knowledge workers for higher-level tasks

Challenge:

Efficiently processing forms and inputting data

Our customer’s business relies on their ability to perform back-office operations in the most efficient and cost-effective way possible. Each year, they used tens of thousands of employees to perform rote, manual tasks like processing forms and inputting data into a system of record. 

Each year, our international customer expended resources to process forms and input data into SaaS systems. Moreover, they did it across hundreds of their customers spanning dozens of languages. Each customer had their own recording system (SAP, Concur, etc.) so their form processing required different levels of flexibility and customization.

Looking to find better ways to leverage their workforce, our customer trusted Infinia ML to automate and reinvent invoice processing.

Solution:

Building a document processing pipeline to automatically digitize information

Infinia ML built a document processing pipeline to automatically digitize, extract, and normalize information across multiple languages and platforms. The overall solution was built to flexibly handle structured, semi-structured, and unstructured documents.

Value:

Redeploying employees to more advanced projects

Infinia ML’s solution ensures reliable data entry while allowing the corporation to leverage their employees’ skills to increase profit margins. Employees could redeploy to more advanced projects, improving company business and culture.

Applying these techniques elsewhere

  • Extract data from non-standardized paper and digital forms
  • Redact sensitive information from financial or healthcare records

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