July 5, 2022

Use Cases to Establish IDP's Potential in the Manufacturing Industries

The document processing needs of firms are disparate. It may take a long time to handle documents manually, but an intelligent document automation system can dramatically reduce that time. Research the many scenarios when an IDP may be functional and how they could be automated.

Automated Document Processing (IDP) is one of the most widely used technologies in the business, with a predicted 190 to 200 percent year-over-year increase in 2021.

As a vital piece of technology, Intelligent Document Processing (IDP) helps organizations save time and effort by processing documents quickly and accurately. Read on for a more in-depth explanation.


Everything from the healthcare system to the food industry to the automation industry relies on manufacturing in some capacity. It is an industry whose only purpose is to provide products to many others. The goal of creating goods on time is frequently put on hold due to poor activities like document processing in today's business world, despite product demand increasing across almost all sectors. This is because new purchase requests to replenish stock must be approved by accounts payable before being submitted by production.

Manual procedures, such as data entry and OCR for document processing, are still widely used in today's manufacturing. It is time for businesses to consider advanced document automation options that may do away with labor-intensive manual tasks. The work will be completed more quickly, and the industry will be freed up to concentrate on its essential functions.

Prospects for IDPs

Automatic data collection and extraction from semi-structured or unstructured data into useful structured data is the goal of IDP technology. Natural Language Processing (NLP), Computer Vision (CV), Machine Learning (ML), and Optical Character Recognition (OCR) are just some of the AI technologies that IDP uses to accurately categorize, analyze, and extract data for evaluation.

Information is crucial to the success of any business. These huge data volumes are encoded in many forms, some of which are not easily processed, including semi-structured and unstructured data. When compared to standard OCR software, IDP is a vast advance thanks to its high level of intelligence and maturity, since it has the potential to process data at maximum speed and aid in the resolution of difficult data issues across all industries.

What does IDP really stand for?

A company may benefit from intelligent document automation since it streamlines the procedures for handling documents. Data extraction, verification, document management, etc., are all part of it. The time and money spent on document processing may be drastically reduced with the help of an efficient document automation solution like an IDP platform, which enables businesses to automate document processing for massive volumes of documents.

The IDP used cases in manufacturing industries are:

An intelligent document processing platform may be a helpful asset in many settings within the industrial sector. Some of the most frequent ones are listed below:

Manufacturing Invoice Processing

Processing invoices is an incidental part of business in any sector, and manufacturing is no exception. Invoice processing is a recursive job. Payment for a supplier's invoice is the beginning and end of the process.

Invoice processing is time-consuming and costly due to the various levels of paperwork and quality checks performed on each shipment. Additional delays in meeting the deadline might be caused by several factors, including but not limited to duplicate or lost invoices, erroneous invoice data, etc.

The time it takes to process an invoice might range anywhere from 60 days to 95 days if there are no hiccups along the way.

Invoice document automation is an option to reduce the time it takes for accounts payable clerks to review each invoice manually. A system like an IDP platform may be a massive example of this automation. Furthermore, the platform can analyze data from unstructured bills from various sources, extract user-defined data, and validate invoices against a predetermined truth source.

The final product includes classified data that may be conveniently employed for accounting reasons, maintaining the ledger and archive. Using an IDP may reduce the time it takes to process invoices internally by a factor of at least 10, significantly increasing productivity.

Formulation of Orders

The order form is a technical document used in sales, administration, and purchasing. For transactions of significant size or value, use this form. Essential details to provide on an order form are:

  • The specific goods and services that a vendor offers.
  • Payment conditions are communicated.
  • Specify how much of whatever you want to order.

The order form is a legal document between the supplier and the business. The whole goal of utilizing an order form is to record the transaction. Any manufacturing business might benefit from using the information provided by the form. Hours of human labor are needed to record these forms and retrieve helpful information. On the other hand, an IDP would make it much simpler for any business to extract valuable information from these records and provide access to accurate, processed data.

Management of the Order Processing System

Order processing and subsequent order management may be laborious. It is because the complete collection of data comes from diverse sources and formats—for instance, email, fax, hard copies, etc. Integrating downstream applications like CRM, SAP, emails, messages, legacy infrastructure, etc., is possible using an IDP. It can automatically auto-extract data from various systems, process it, and deliver it to the manufacturing department, utilizing the ERP system.

Controlling Requests for Alterations

It is not uncommon for manufacturers to be asked to adjust their products. Typically, these inquiries concern alterations to the production procedure or the machinery itself. It is not uncommon for a manufacturer to obtain updated SOPs that reflect process improvements. These modification requests need preliminary processing, interpretation, and transmission to the manufacturing group.

This translation procedure may be simple yet time-consuming if done manually. However, an IDP platform can comprehend these shifts and extract valuable data from a mountain of these requests in a short time, thanks to artificial intelligence, machine learning, and natural language processing. The operator must specify the entries and correlate them with a predetermined global entry. The platform would automatically extract the corresponding data.

Proposal Management

A manufacturer may receive repeated proposals. Frequently, these suggestions only exist in hard copy form, which necessitates digitalization. It was difficult to process these suggestions with the old systems because of their unstructured nature. However, incorporating intelligent document automation through IDP makes it feasible to handle several documents simultaneously. In contrast to manual processing, an IDP can reliably extract information from unstructured documents without human interaction.

Invoice Management

The industrial industry typically meets several challenges in order management and manual invoicing processing, resulting in expensive yet poor efficiency. Increased output, better efficiency in operations, and reduced expenditures are all results of implementing IDP.

Invoice Data Processing (IDP) automates the extraction of invoice data, the organization of that data into digital documents, and the distribution of those documents to the appropriate departments for processing. Automatically gather data from purchase orders in numerous forms, faxes, and emails, then integrate this data into Enterprise Resource Planning (ERP) systems according to specified criteria by the administrator.

Another interesting piece of information depicting the importance of quotation and billing via the use of IDP:


How VisionERA comes to the rescue?

VisionERA is a modern IDP platform developed by its competitors. VisionERA has enticing features to help automate document processing, retrieval, and validation of enormous volumes of unstructured documents.

Artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and computer vision are just some of the complex proprietary technologies that went into its creation. Together, these technologies enable a constantly improving solution that becomes smarter with each iteration. In addition, it makes the most of the human-AI alliance, which means that you won't have to do anything to process your papers, and the results will be accurate and easy to export in the format of your choice.

Processing unstructured documents and extracting data from many tables are no problems for VisionERA (even without any line of separation). Auto-correction, auto-grid lining, a recognition system that can identify the best tables in the industry, etc., are just a few of the included features.

With its do-it-yourself document selection and process, this system may be used for various domains and purposes. The platform may be customized to fit your needs, and it delivers helpful key performance indicators (KPIs) via intelligent insights boards. VisionERA can unlock information in documents of varying sizes, structures, and formats for industrial firms.


Market Research Engine predicts that the worldwide IDP market will expand from its current level to reach $3.7 billion by 2027, a CAGR of 35.2%. This demonstrates the promising future growth of IDP and should encourage companies to use the technology to boost their productivity and competitiveness. Many processes, activities, and sectors may benefit from using IDP solutions, not only the financial sector (banks, logistics, factories, and government organizations).

If you are interested in learning more about VisionERA and the impact it has on the industrial sector, you have come to the right place.

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