Manufacturing, Automobile, BFSI

How an organization scaled up invoice processing with Cognitive Process Automation

AT A GLANCE

elimination of errors in the Accounts Payable process

0

AT A GLANCE

level of efficiency

0 %

AT A GLANCE

Processing time for a single invoice dropped to just 2 minutes

AT A GLANCE

Annual cost
saving of
approximately

INR 51,75,000
/ ($67852)

How an organization scaled up invoice processing with Cognitive Process Automation

Background

Our client was a large organization that needed to automate its finance and accounting processes. They were dealing with large monthly volumes of invoices, varying formats, and business rules specific to different supplier types. Manual processing of the invoices made the process time-consuming and error-prone and there was a danger of issues like missing invoices, delayed payments, and even potential instances of fraud.

Challenges

With increasing invoice volumes from global vendors, the Finance & Accounting team was unable to meet processing timelines.

Problems arose when:

New vendors were added to the system

Gathering critical paperwork during supplier onboarding

Invoices were delivered in a different format

An existing supplier's status changed

Manual processing led to high scope 
of errors

Additionally, paper invoices stacked up on desks as did emails seeking approvals or exception corrections, making it difficult for the team to keep track of any account accurately.

Goals & Objectives

1

Establish quicker vendor payments to avoid penalties and maintain a good relationship with vendors

2

Ensure fast payment clearance and eliminate penalty cost to generate a large ROI

3

Improve productivity and efficiency

4

Minimize processing costs

5

Maximize payment accuracy and
control

6

Minimize fraud

7

Streamline workflow and save time

Solution

Our intelligent automation experts followed the client’s top suppliers across geographies closely. A combination of rule-based automation and machine learning models was applied to process all the invoice formats using Cognitive Process Automation.
They determined that Cognitive Process Automation was the only solution that would meet the demands of scale. Since most RPA solutions are rule-based, they do not fare well with complex processes or unstructured data, which our client had to deal with on an everyday basis.

We recalibrated/trained IQ bots to process unstructured data into a structured form and deployed an unattended BOT to:

Automatically recognize suppliers and their invoice formats using an AI-based document extraction engine so the client’s AP team wouldn’t have to manually train each new format

Easily configure validation rules for specific suppliers and geographies

Derive deep insights from supplier payments and cash flows and improve business efficiency and staff experience

Automate the updation of the company’s ERP system and issue payments to vendors

Match invoices against a purchase order using AI-ML technologies.

Reject documents in case of irregularities (e.g., mismatched PO numbers, incorrect line items, etc.)

Route invoices to a manager or senior executive for approval

Automatically improve the overall straight-through processing using intelligent automation and machine learning

Outcome

Our unattended BOT completely automated the invoice clearance process. As a result, the organization hit all its goals.

level of efficiency

0 %

elimination of errors in the Accounts Payable process

0 %
Processing time for a single invoice dropped to just 2 minutes

Annual cost
saving of
approximately

INR 61,19,560 $80,000

level of efficiency

0 %

elimination of errors in the Accounts Payable process

0 %
Processing time for a single invoice dropped to just 2 minutes

Annual cost
saving of
approximately

INR 61,19,560 $80,000

The process yielded 90% automation of the client’s invoice processing which led to a reduction in shift-based work for their employees, thus improving work-life balance.

Tools used