Invoice management is often overlooked by CFOs as it is considered part of the overhead costs of running a business. This leads to the assumption that the process will take care of itself. However, this assumption is far from accurate. In reality, many companies lack

Logistics and supply chain operations encompass various aspects such as warehousing, shipping, transportation, manufacturing, and product distribution. In today’s business landscape, logistics companies often grapple with the challenge of managing vast volumes of documents and data, which are traditionally processed manually by supply chain managers.

Today’s world of business demand digitization and faster ways to achieve it. Collecting, arranging, and maintaining paper documents, files, and records isn’t easy. Taking too much time and space, keeping physical documents requires great attention and responsibility. There is a dire need for digital documentation

Insurance companies face the challenge of handling vast amounts of unstructured data contained in documents such as policies, claims, and customer information. Manual processing of these documents is time-consuming, error-prone, and inefficient. However, with the advent of automated document processing software, insurance companies can optimize

Logistics and supply chain management have become one of the most essential processes and a strategic necessity in the world of business. Businesses today need to survive in hyper-connected, globally competitive environments, which can thrive only through effective and efficient supply chain management. Logistics document

Automated document processing in the Banking Industry: Streamlining Operations and Enhancing Efficiency Intelligent Document Processing (IDP) has emerged as a transformative technology for the banking industry. IDP offers numerous benefits and solutions to the challenges faced by banks in managing various types of documents, right

“Poor data quality costs organizations an average $12.9 million every year”. – Gartner, 2021 Data quality and errors are major concerns for businesses. Bad data can result in bad decisions even if you have the best data analytics and intelligence tools. Therefore, data quality must

In many document-heavy industries, businesses spend around 35% of time and resources on data entry, error correction, and other document-related activities. Intelligent document processing has revolutionized how businesses deal with raw unstructured data in complex documents. IDPs help businesses take advantage of data in complex