Templateless Approach To Intelligent Document Processing
One of the common challenges with most Intelligent Document Processing (IDP) solutions is their reliance on a template-led approach, which typically involves creating and maintaining individual templates for different document types and variations. While templates are effective for processing structured and standardized documents, they can fall short when dealing with documents that have extensive unstructured […]
Invoice Automation Partner To Accelerate Invoice Processing
Effective invoice processing is crucial for modern businesses to ensure financial management. It involves various intricate and time-consuming tasks that demand additional workforce and technology. These tasks comprise capturing invoice data, validating the information, and recording the specifics in financial systems. The invoice processing procedure can become more complex, especially when dealing with high volumes […]
Accounts Payable Process Automation – Single Platform To Manage AP
Accounts Payable (AP), a vital process in the Finance and Accounts domain, has come a long way in the last few years in adopting automation. Although many still perceive it as simply the process of reviewing bills, it involves much more than that, and managing it can become challenging over time. According to Modern Treasury’s […]
Using AP automation to educe accounts payable discrepancies and boost satisfaction
Accounts payable is a crucial aspect of maintaining positive cash flow and strong vendor relationships in most companies, especially larger ones. It’s easy to underestimate the importance of maintaining good relationships with vendors until you need their support for rush orders or special pricing. Unfortunately, AP teams often face various challenges in their daily work. […]
How IDPs can Transform your Invoice Processing better than RPAs
Documents such as invoices, purchase orders, checks, receipts, etc. have no standard format. However, businesses need to enter the information from these paper documents into the financial systems and ERPs. A lot of manual effort is spent in classifying the documents and extracting the data for analysis. As time is limited, errors generally creep in, […]
