Intelligent Document Processing vs. Intelligent Communications Processing
Break down the differences between Intelligent Document Processing (IDP) and Intelligent Communications Processing (ICP), and see which best addresses your business needs.
Re:infer turns conversations into structured data for analysis and automation. We give organisations a centralised NLP capability to drive visibility, efficiency and operational scalability. Making the enterprise more agile and customer centric.
What’s the difference between IDP and ICP?
IDP is used to extract insight from unstructured and semi-structured documents, while ICP extracts insight from unstructured business communications.
Automation and transformation leaders use a range of AI and NLP tools to identify improvement opportunities and drive automation in their business. IDP and ICP are both crucial for operational visibility and efficiency, but focus on different channels.
Intelligent Document Processing
IDP extracts and organises usable data from any document type.
Intelligent Communications Processing
ICP creates structured data from masses of unstructured communications, in real time and on any channel.
Converts unstructured and semi-structured documents into usable data for analysis and automation.
Converts unstructured data from any business communication into structured data for analysis and automation.
IDP is used by process managers and improvement teams, data scientists, auditors and consultants.
ICP is no code by nature and is used by every employee, from automation leaders to non-technical service agents.
AI tools like OCR and NLP interpret information in document formats and transform it into clean, structured data.
ICP relies on the latest advances in NLP and machine learning to extract the most valuable insight from communications, including data on intents and sentiment.
IDP extracts data from documents continuously and in real time.
ICP extracts data in real-time, enhancing operational efficiency and driving continuous improvement.
IDP works best on unstructured and semi-structured formats like business documents, emails, images and PDF files.
ICP is fully omnichannel, extracting structured data from emails, calls, chats and any form of enterprise communication.
- Increased cost savings
- Improved operational efficiency
- Reduced handling times
- Better business intelligence
- Data-driven decisions
- Reduces the risk of human error
- More value from automation
- Increased cost savings
- Improved productivity
- Faster, easier operational scalability
- Improved customer intelligence and experiences
- Improved employee satisfaction
- Data-driven decisions
- Better compliance
How does Intelligent Communications Processing work?
How do IDP and ICP work together?
IDP and ICP are distinct but complementary tools. They both leverage AI to create structured data, but they extract it from different sources.
IDP processes different document types, extracting the most valuable information from documents formats, images and PDF files. Some IDP solutions offer data extraction from email, but their use of NLP is usually rudimentary and only the most basic information (eg. customer numbers, contact dates etc.) can be extracted for logging purposes.
By contrast, ICP specialises in extracting value from all communication types, including email, calls, chats and even notes in CRM and ERP systems. Any message or text expressed in human language can be reliably understood and processed by ICP solutions. ICP can extract data on sentiment, important themes, topics and complex customer intents from any message at speed and scale.
When ICP and IDP work together, they give businesses complete visibility over their entire data estate. For the first time, core operational and service processes can be fully analysed and automated from end-to-end.
Learn more about Intelligent Communications Processing
