Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
Blog
-
Automated Invoice Processing: Comparing RPA and IDP Solutions
Trending articles
Automated Invoice Processing: Comparing RPA and IDP Solutions
Our last article Which Automation Technology Is Better for Your Operations: RPA or IDP? compared Robotic Process Automation (RPA) solutions with Intelligent Document Processing (IDP) solutions for processing transactional documents. Despite their differences, both solutions are often used for automated invoice processing and streamlining the accounts payable process. RPA uses software robots, also called bots, to mimic human actions and interactions with computer systems to execute repetitive tasks such as data entry, filling in forms, moving files, and communication with other systems without human intervention. IDP automation solutions orchestrate the entire invoice processing workflow including document classification, data extraction, data validation, and exporting to downstream systems.
Share:
RPA and IDP Solutions: Where Are They Used?
RPA software robots are typically used in departments where there are high volumes of repetitive and rule-based tasks such as in finance, accounting, human resources, and customer service in industries like banking, insurance, healthcare, manufacturing, and retail.
IDP solutions are used in various departments including finance and accounting, supply chain, procurement, sales, and human resources in industries like banking, logistics, retail, pharmaceuticals, chemistry, mechanical engineering, and consumer products. Overall, IDP is a versatile technology that can be applied across various departments and industries to automate the processing and managing of different types of complex structured and unstructured transactional documents.
Both RPA and IDP tools are frequently used for automatic invoice processing.
3 Misconceptions of IDP solutions
IDP solutions are often misunderstood regarding several aspects.
IDP is just advanced OCR
While OCR is a component of IDP, true IDP involves a comprehensive process including data extraction, interpretation, validation, and integration with business workflows.
All IDP solutions offer equal capabilities
Some IDP solutions offer limited functionality and mainly focus on data extraction. A full-fledged IDP solution, however, offers a broader range of capabilities including deep learning models for comprehensive document understanding and integration with a variety of business systems.
IDP completely eliminates the need for human input
True IDP integrates a human-in-the-loop approach. The aim is not to replace human involvement but enhance and assist it, especially in complex decision-making and handling exceptions.
Two Real-Life Examples: Automated Invoice Processing
1. With an RPA document processing solution
Monitoring for new invoices
The RPA solution automatically scans the system for invoices. As soon as new files are uploaded, they are flagged and forwarded along for data extraction.
Invoice capture
The solution extracts the invoice and order data such as bank account info, order details, pricing, etc. The extracted data can then be automatically forwarded to an employee for verification to ensure that the RPA bot has captured the data properly.
Invoice processing
The automation solution evaluates invoices against order records along with other criteria to ensure their validity. This can include the following actions:
- Comparing invoices with purchase orders
- Looking for duplicate records
- Determining if there are any issues which require manual intervention
Once all the checks have been performed, the software robots will automatically send the invoice off for further processing.
Recording information
When an invoice has been processed, the RPA solution logs all relevant information in accounting’s database to create a record of it.
2. With an IDP solution
Invoice reception
The IDP solution receives incoming invoices through various channels, such as email, SFTP or API.
Data extraction and validation
The IDP solution extracts data from the invoice and validates it against predefined rules to ensure accuracy, significantly reducing errors and the need for manual checks through humans. It offers a broad range of extraction tools to flexibly extract data from any document format, for example PDF, images, csv, xml or excel files, guaranteeing a very high validation reliability.
Invoice processing
The IDP solution processes the invoice through customisable workflows tailored to specific business needs and matches it with the related purchase order.
A defined workflow for processing invoices could be: “Scan and categorise incoming invoices, validate tax identification numbers, match invoices with corresponding purchase orders, flag any discrepancies for manual review and calculate early payment discounts”.
If the system spots a deviation between the documents which cannot be resolved through data transformation, data enrichment or other data-validation rules, an exception is raised. This way, employees only need to check those invoices where discrepancies are identified by the software solution.
Exporting invoice data to downstream systems
Structured invoice data is integrated into the downstream systems and the invoice is automatically archived.
Automated invoice processing with an IDP solution Key Differences Between Robotic Process Automation and Intelligent Document Processing
As these two real-life examples illustrate, RPA and IDP solutions are largely used for the same use cases and goals. Utilisied to automate invoice processing, the goal is to free employees from manual tasks, reduce errors, and to increase accuracy and productivity.
At the same time, there are some key differences between IDP and RPA software solutions.
IDP solutions are built for flexibility
IDP technology offers a robust solution to orchestrate the entire document processing workflow – from data extraction to data processing and the export of structured information to downstream systems like ERP or CRM systems. It is designed to understand the context and can adapt to different situations. For example, if a supplier sends the invoice in the mail body, or multiple invoices in one PDF, or they send the date in the wrong format, the IDP system can still handle the document and extract and process the data accurately.
RPA, by contrast, uses robotic software to mimic human actions on a computer interface. These bots interact with applications, websites, and systems just as a human would, using the graphical user interface to perform repetitive and routine tasks. This limits RPA to functions which are highly predictable and repetitive. Software robots are great when it comes to extracting and filing the same straightforward data repeatedly. Unforeseen changes, complex data sets, ambiguous information or exceptions, however, pose serious problems to bots.
RPA solutions do not eliminate manual tasks
As detailed in the above use case, team members still need to check the software robots’ work. Often, the extracted data needs to be automatically forwarded to a human worker for verification to ensure that the RPA bot has captured the data properly. This means additional workload for employees.
IDP solutions, on the other hand, combine several tasks. They extract data, recognise the document type, compare the data against the document definitions for that document type and check whether there are any deviances. If the software detects a deviance or exception, it automatically alerts the user.
Using an RPA solution, each of these tasks would need to be executed by another bot. More importantly, IDP solutions find exceptions, deviances and edge cases and automatically alert the user who can check the data. They ensure very high accuracy and reliability, thus significantly reducing errors and the need for manual checks through humans.
Efficient exception management with Intelligent Document Processing
The Netfira Platform is an IDP solution which provides an interface where team members can manage and resolve exceptions. This makes sure that errors are neither missed nor that documents are rejected. At the same time, the need for manual intervention is kept to a minimum, because users are directly guided to the cases where their human expertise is needed.
RPA’s limited ability to extract data from transactional documents like invoices without the need for human verification ties in with its inability to handle exceptions, errors or edge cases efficiently. For example, if there is an error in an invoice, the software robot does not provide any options to manage it and often needs to reject the document.
For complex processes several bots are needed
Processing invoices automatically is a multi-step process: The system needs to be monitored for incoming invoices, the data needs to be read out from the document, processed and then filed. Mostly, every step requires an own bot. Consequently, multiple bots need to be set up, managed and checked which brings a high workload for human staff.
This is not the case for Intelligent Document Processing solutions like the Netfira Platform. Providing end-to-end automation,it covers the entire document processing process. Once implemented, Netfira handles every step of the process, from data extraction to processing, exporting and archiving. Furthermore, SaaS IDP solutions operated in the cloud relieve internal IT departments as they are updated regularly and do not require maintenance.
Intelligent Document Processing for Automated Invoice Processing
As the practical examples illustrate, both RPA and IDP solutions are designed to handle the automated processing of invoices thus streamlining the accounts payable process. At the same time, there are some key differences between RPA and IDP technology. In direct comparison, Netfira’s IDP solution, provides a higher level of flexibility and cutomisabilty which make it a powerful tool not only for automating invoices but all transactional documents. Its use of state-of-the art technologies and customisable workflows enable it to reduce the need for manual intervention to a minimum while achieving very high data accuracy. Businesses that want a complete solution that can adapt to meet their operational needs now and in the future and are serious about improving efficiency and accuracy in their business processes should consider choosing an IDP solution like the Netfira Platform.
Whitepaper: Automated invoicing with IDP
Whitepaper: Automatisierte Rechnungsver-arbeitung mit IDP
-
How to Automate Order Confirmations
3 Questions – 3 Answers:
How to automate purchase order confirmations
Learn what makes the purchase order confirmation special and what sets this unstructured document apart from other transactional documents.
Explore the challenges of automating order confirmations and discover how the processing of order confirmations can be automated efficiently with the help of intelligent automation solutions.
Arrange a free demo
We understand every business has unique operational challenges – and we’re here to help you overcome them.
Free demo
Suggested resources
-
From Customer to Head of Delivery: Experiences with the Netfira Platform
Employee Spotlight
From Customer to Head of Delivery:
Marijana’s Journey and Experiences with the Netfira Platform
Marijana, Head of Delivery at Netfira, had been working at a Netfira customer and been a key user of the Netfira Platform for more than two years before joining Netfira’s delivery team in 2020.
In this video, she talks about her experiences with the Netfira Platform on the customer side, shares her perspective on document automation and digital transformation, and gives valuable tips for a successful software solution selection and implementation.
Arrange a free demo
We understand every business has unique operational challenges – and we’re here to help you overcome them.
Free demo
Suggested resources
-
Product Demonstration: Customer Orders
Product demonstration
Processing customer orders with the Netfira Platform
This session will provide an overview of how the Netfira Platform captures and processes order data, seamlessly integrating it into existing business systems. Learn how Netfira can help enhance order accuracy, improve fulfilment times, and support your overall sales operations.
Note: At the moment, we only provide this video in English.
Arrange a free demo
We understand every business has unique operational challenges – and we’re here to help you overcome them.
Free demo
Suggested resources
-
Product Demonstration: Invoices
Product demonstration
Invoice processing with the Netfira Platform
Explore how Netfira manages invoice processing in our detailed demonstration of the Netfira Platform. This video will guide you through the functionality of our platform, showing you how it automates the extraction, processing and integration of invoice data into your existing systems.
Note: At the moment, we only provide this video in English.
Arrange a free demo
We understand every business has unique operational challenges – and we’re here to help you overcome them.
Suggested resources
-
Unlocking Rapid ROI with Netfira
3 Questions – 3 Answers:
Unlocking Rapid ROI with Netfira’s Intelligent Document Processing
Discover practical strategies to calculate ROI in your automation projects and explore the multifaceted benefits that document automation brings to your business.
Don’t miss this opportunity to learn how Netfira can transform your processes and deliver value faster than ever before.
Arrange a free demo
We understand every business has unique operational challenges – and we’re here to help you overcome them.
Suggested resources
-
How to Process e-Invoices with the Netfira Platform
Trending articles
How to Process e-Invoices with the Netfira Platform
As e-invoicing becomes mandatory in Germany, businesses are seeking efficient and straightforward ways to automate e-invoice processing. The Netfira Platform, an Intelligent Document Processing (IDP) software solution, is well-equipped to handle all aspects of e-invoicing automation. This article addresses the following key questions:
How can businesses switch from processing PDF invoices to processing electronic invoices?
How does the Netfira Platform enable the automated receipt, processing, archiving, creation, and sending of e-invoices?
Share:
The e-Invoicing Legislation
In an effort to digitise business processes and reduce errors associated with manual document handling, the German government is mandating that B2B invoice data be exchanged in an electronic format in addition to any original format. While many businesses currently send and receive invoices as PDF documents—useful for human readability and clear structure—PDFs do not meet the requirements for standardisation and automation.
Under the new legislation, a structured data file (e.g., XML) must accompany the PDF format. This means businesses are required to provide an electronic invoicing format along with the original document, facilitating automated processing and compliance with standardised formats.
Processing e-Invoices with the Netfira Platform
The Netfira Platform offers an end-to-end solution for automating all steps of e-invoicing, including:
- Generating and Sending Electronic Invoices
- Receiving and Processing e-Invoices
- Exporting and Archiving e-Invoices
With its flexible and customisable features, the Netfira Platform simplifies the transition to e-invoicing, enabling businesses to meet regulatory requirements without overhauling existing processes.
Transitioning from PDF Invoices to e-Invoices
Switching from automatically processing PDF invoices to e-invoices is seamless with the Netfira Platform—possible at the push of a button. Businesses can continue using their established document processing workflows. All the functionalities available for processing and exchanging PDF invoices are equally applicable to e-invoices within the platform.
How to Read Incoming e-Invoices with the Netfira Platform
When an e-invoice is included with a PDF invoice, it is mandatory to prioritise processing the e-invoice over the PDF. The Netfira Platform is configured to automatically detect e-invoices embedded within incoming PDF documents. It preferentially processes the e-invoice, ensuring compliance with regulations and maximising automation benefits.
How to Process e-Invoices with the Netfira Platform
With Netfira’s customisable workflows, e-invoices can be processed according to your specific business requirements. A typical workflow might include:
Receipt of Documents
- Capturing invoices received via email inboxes or other channels.
Reading and Interpreting Data
- Extracting information from e-invoices using advanced data recognition.
Validation and Matching
- Comparing invoice data with corresponding purchase orders to ensure accuracy.
Data Transformation and Enrichment
- Modifying and enhancing data as needed before integration.
Exporting to Downstream Systems
- Sending processed data to ERP systems, accounting software, or archives.
How to Archive e-Invoices with the Netfira Platform
After processing, the Netfira Platform can archive e-invoices either in the same location as the original documents or in a designated archive system. For instance, if a PDF invoice is sent to an ERP or archive system, the platform can automatically include the e-invoice in XML format alongside it, ensuring all records are stored appropriately and compliantly.
How to Create and Send e-Invoices with the Netfira Platform
While generating e-invoices is typically a function of ERP systems, the Netfira Platform can step in if your ERP system lacks this capability. The platform can generate e-invoices and send them to connected systems and business partners, ensuring seamless communication and compliance with e-invoicing standards.
End-to-End e-Invoice Processing with the Netfira Platform
Thanks to its flexibility, the Netfira Platform can easily adapt to meet e-invoicing regulations. It supports businesses in swiftly transitioning from traditional invoice processing to electronic invoicing without disruption. By automating the entire e-invoicing cycle—from receipt and processing to creation and sending—the platform enhances efficiency, reduces errors, and ensures compliance with new legislative requirements.
Ready to Streamline Your e-Invoicing Process?
The Netfira Platform simplifies e-invoice processing, enabling businesses to adapt quickly to regulatory changes and improve operational efficiency. Embrace the future of invoicing with Netfira and experience seamless, automated, and compliant e-invoice management.
Whitepaper: Automate Accounts Payable with IDP
Webinar: Lernen Sie die Netfira-Plattform kennen
-
Understanding E-Invoicing and Upcoming Regulations
Trending articles
Understanding E-Invoicing and Upcoming Regulations
In today’s rapidly evolving digital economy, the way businesses communicate and transact is undergoing significant transformation. One of the most impactful developments is the rise of electronic invoicing, or e-invoicing. This article explores e-invoicing in B2B communication, compares e-invoices with traditional PDF invoices, and discusses the new regulations set to take effect in Germany starting in 2025.
Share:
What Is E-Invoicing and What Are the Benefits?
E-invoicing refers to the process of issuing, transmitting, and processing invoices in a structured digital format. For businesses engaged in B2B transactions, e-invoicing is a powerful tool that enhances cash flow management and streamlines communication with partners. By integrating seamlessly with business systems like ERP and accounting software, it allows for real-time data analysis and insights. Standardisation ensures that all parties adhere to the same format and data requirements, simplifying reconciliation and reducing errors.
PDF Invoice and e-Invoice – What’s the Difference?
PDF invoice:
- Generation: Produced electronically from accounting software and saved as a PDF file.
- Delivery: Sent via email, offering faster delivery than postal mail but susceptible to issues like spam filters and attachment size limits.
- Processing: Received via email; may still require manual sorting and data entry unless automation is in place.
- Automation Potential: Can be integrated with software systems, but often needs additional steps or OCR (Optical Character Recognition) for data extraction.
- Challenges: Not fully standardised; automation requires extra effort to convert data into usable formats.
e-Invoice:
- Generation: Automatically created from accounting or ERP systems in a structured format like XML.
- Formats: Common formats include ZUGFeRD and XRechnung, complying with European standards.
- Delivery: Sent directly to the recipient’s accounting or ERP system through secure electronic networks, ensuring immediate and reliable delivery.
- Processing: Designed for automated data extraction and processing without manual intervention.
Benefits:
- Eliminates the need for physical resources.
- Reduces human error and enhances data accuracy.
- Enables full automation of the invoicing cycle—from creation to payment processing.
- Facilitates easier integration with ERP systems and ensures compliance with tax regulations.
An e-invoice is defined as an invoice issued, transmitted, and received in a structured electronic data format in accordance with the European standard EN 16931. This structure enables electronic and automated processing. In contrast, formats like PDF, TIFF, JPEG, or DOCX provide a digital visual representation but do not meet the requirements for automated processing.
Upcoming E-Invoicing Regulations in Germany
As European businesses continue to adopt digital transformation strategies, e-invoicing has become central to streamlining operations and reducing costs. In Germany, significant regulatory changes are set to commence in 2025, mandating the adoption of e-invoicing for B2B transactions.
Here are key aspects of the upcoming e-invoicing regulations:
Standardised Formats and Protocols
Businesses must use standardised formats for electronic invoices, such as XML or the UN/CEFACT format, to ensure consistency and interoperability.
Adoption of the ZUGFeRD Format
The ZUGFeRD format combines structured data with a visual representation, allowing for both machine processing and human readability. Compliance with this format will be required.
Compliance with European Standard EN 16931
Companies must adhere to EN 16931, which outlines a common semantic data model for electronic invoices across Europe. This ensures uniformity in design and content.
E-Invoicing: Preparing for the Transition
As part of the new regulations, businesses will be encouraged to integrate their e-invoicing processes with broader digital solutions. This can enhance automation, improve data analytics, and facilitate a more efficient invoicing cycle.
With these new regulations approaching, businesses in Germany must take proactive steps to ensure compliance. Here are several critical considerations for fostering a smooth transition to e-invoicing:
Evaluate Current Processes
Conduct a comprehensive review of existing invoicing practices to identify gaps and areas needing improvement.
Invest in Compliant E-Invoicing Software
Adopt e-invoicing solutions that meet the new regulatory requirements. Partnering with reputable software providers can facilitate efficient and compliant systems.
Train Your Team
Educate employees on the new systems and regulatory obligations to ensure smooth adoption and operation.
Stay Informed
Keep abreast of regulatory updates and industry best practices to maintain long-term compliance and optimise invoicing processes.
Discover how businesses can automatically process electronic invoices with the Netfira Platform.
By embracing e-invoicing and preparing for the upcoming regulations, businesses can not only achieve compliance but also reap significant operational benefits. The shift to digital invoicing represents a substantial step toward modernising financial processes and staying competitive in an increasingly digital world.
Whitepaper: Document automation along the P2P process
Whitepaper: Dokumentenauto- matisierung entlang des P2P-Prozesses
-
Which Automation Technology Is Better for Your Operations: RPA or IDP?
Trending articles
Which Automation Technology Is Better for Your Operations: RPA or IDP?
Processing transactional documents is an integral part of business operations. These operational tasks must be completed efficiently so that employees have enough time for value-adding tasks. There are many different automation solutions on the market which rely on cutting-edge technologies such as artificial intelligence (AI), Optical Character Recognition (OCR), Electronic Data Interchange (EDI), Robotic Process Automation (RPA) or Intelligent Document Processing (IDP). This blog article will focus on two prominent technologies utilised to achieve process optimisation and efficiency in the processing of transactional documents: Robotic Process Automation and Intelligent Document Processing. Intelligent automation solutions relying on RPA or IDP technology are often used for the same goals, but their fields of application, strengths and weaknesses differ significantly. The question is: Which automation technology is better suited for the needs of your business operations: RPA or IDP?
Share:
Managing Transactional Documents
Transactional documents are essential pieces of information recording a business transaction between two parties. In procurement, for example, these transactions are mostly made between buyers and suppliers; in sales departments, they take place between a sales rep and a customer or another business partner. Managing transactional documents, such as invoices, shipping documents, purchase order confirmations, and customer orders, involves repetitive and time-consuming manual tasks. Intelligent automation solutions can help streamline the processing of these documents by automatically extracting and processing data, reducing processing times and errors. By automating these tasks, teams can free up valuable time to focus on more strategic activities.
Which Automation Technology Is the Better Choice for Your Operations: RPA or IDP?
Robotic Process Automation (RPA) is a technology that uses software robots, also called bots, to automate repetitive, rule-based tasks in business processes. RPA mimics human actions and interactions with computer systems to execute tasks such as data entry, data processing, and communication with other systems without human intervention.
Intelligent Document Processing (IDP) refers to the automation of data extraction from complex semi-structured or unstructured documents and converting it into structured usable data. IDP automation solutions automate all steps of document processing from document pre-processing, document classification, data extraction, data validation, and export to downstream systems.
Advantages of Robotic Process Automation
1. Powerful solution for automating rule-based tasks
RPA is suitable for automating repetitive, rule-based tasks such as data entry and invoice processing. For instance, RPA bots can open and flag emails with attached documents, key in documents into systems and extract data from transactional documents.
2. Cost reduction
In the long run, RPA can significantly reduce operational costs by automating repetitive and manual tasks, thereby reducing the need for manual work.
3. Faster processing times
RPA solutions can execute tasks around the clock, leading to faster processing times and improved turnaround times for various processes.
Disadvantages of Robotic Process Automation
1. Limited scope of use
RPA software can only be used where processes are already digitised. The software robots cannot work with ambiguous documents either. Consequently, they can currently only be used for structured processes and documents as well as routine activities.
2. Lack of flexibility
Software robots are very inflexible. The platforms on which RPA interacts change frequently, and the required flexibility often cannot be configured. Software robots cannot react flexibly to deviations or variants, for example, when data is not structured, or decisions within the process are complex and non-linear. Changing regulations or updates that require minimal changes to an input screen can set back an RPA project by months.
3. Difficult scalability
The more applications a software robot serves, the more challenging scalability becomes.
4. Monitoring for possible errors is necessary
Employees must check that the RPA software robot does not make any mistakes. For example, if OCR (Optical Character Recognition) is used to read PDF files, the reading process can be faulty. Since RPA technology cannot recognise errors or check data readouts for plausibility, these errors could then be transferred unnoticed to a database.
5. RPA requires clean data
RPA software requires a particular data quality. The effort required for its preparation and cleansing is often underestimated. However, good data quality is a mandatory prerequisite for the successful digitisation of business processes and the automation of workflows.
6. High costs
According to Deloitte, robotic process automation costs for a single software bot may range from 5,000 to 15,000 dollars. Most of the time, costs of RPA tools comprise and depend on: RPA vendor pricing, the number and complexity of bots that constitute the RPA deployment, the initial process analysis, RPA consulting, and engineering costs, the cost of third-party robotic process automation integrations, and finally maintenance, support, and RPA scaling costs.
Advantages of Intelligent Document Processing
1. Orchestration of workflows
IDP offers more than just automating isolated tasks. IDP solutions transform the handling of transactional documents, such as advanced shipping notices, purchase order confirmations, quotes or invoices, from a manual and error-prone process into a seamless and automated workflow. Orchestrating the flow of multiple tasks, IDP solutions cover the extraction, processing and exporting of document data in downstream systems.
2. Use of Artificial intelligence
IDP software solutions employ a range of sophisticated technologies, including AI, OCR and machine learning, to accurately extract data from all kinds of documents thus guaranteeing high data quality.
3. High flexibility
IDP automation technology is very flexible. IDP solutions can extract data with a very high accuracy regardless of the format and complexity. Intelligent Document Processing can automate complex processes lacking simple rules. It can be used in many ways, reacts flexibly to variants, exceptions and deviations; updates and adjustments to the application systems are no problem.
4. Short implementation time and easy scalability
IDP cloud solutions combine the benefits of IDP with the benefits of cloud computing. IDP solutions which are not implemented as on-premise solutions but which operate in the cloud can unlock their full potential. Cloud-based IDP solutions offer a short implementation time of just a few weeks and easy scalability.
5. IDP can understand and relate content
The flexibility of Intelligent Document Processing systems directly stems from their ability to analyse and relate content and to understand the business context. Unlike RPA technology, IDP solutions are not inflexible and rigid systems but are adaptable. Accounting for different document types, formats and supplier-specific rules, IDP solutions can offer customisable workflows tailored to business’ needs. Processing transactional documents, this applies to the extraction of data, the comparison of data across various data sets, the validation of information, and the further processing or transfer of the correct information to downstream company systems.
6. Powerful exception management
In document processing, exceptions are an expected part of the process. IDP solutions are well-equipped for reliably and efficiently spotting and handling exceptions and edge cases in document processing. This functionality ensures business continuity and transparent processes, boosts operational resilience, and reduces the need of manual intervention or IT support.
7. IPD solutions improve over time
In contrast to RPA, IDP can process unstructured data in free texts as well as complex documents such as order confirmations and customer orders. Deviating terms in supplier documents, ambiguous units of measurement, or various languages are no longer a problem because – unlike RPA – IDP learns continuously. When IDP solutions employ human-in-the-loop automation for managing exceptions, errors and edge cases, the system allows users to intervene and handle exceptions when necessary. By interacting with the system through human input, the software learns and improves proportionally with the volume of data fed into it.
Disadvantages of Intelligent Document Processing
Even though there are no real disadvantages or limitations of Intelligent Document Processing solutions, the costs of IDP solutions need to be considered as they can range in price from a few hundred dollars to a few thousand dollars.
In case organisations only want to automate isolated and repetitive tasks, RPA is better suited. In general, businesses need to individually evaluate which automation solution fits their budget, meets their needs and is best suited for fulfilling their automation goals.
Conclusion: Which Technology is Better: RPA or IDP?
If businesses seek to perform rule-based, simple and repetitive tasks in document processing automatically, they can easily rely on RPA technology. However, its scope of application is highly limited: bots are only good for executing a task that will always be the same, such as pulling a PDF from an email. An IDP solution, on the other hand, provides an end-to-end solution that gives enterprises control and flexibility over the entire process including the extraction of document data, the processing and interpretation of data as well as the export and archiving of information. Thus, in comparison to the flexibility, scalability and accuracy of IDP solutions, the limitations of RPA tools outweigh the benefits and often fall short of what is now possible in automated document processing.
Explore the differences between RPA and IDP technology based on a real-life use case in our next blog article Automated Invoice Processing: Comparing RPA and IDP Solutions.
Webinar: Auftragsbestätigung-en automatisieren
Pfleiderer Case Study
Learn how Pfleiderer successfully digitised its procurement through process automation.
Watch the video
Return to blog