PF 360 Capture Features

Provide standard activities and tasks that can be customized by users

Define and manage dependencies between tasks and workflows

Include alters that can be used with workflows

Ability to update multiple workflows at the same time

Maintain a history of all workflow changes

Integrate with ERP or project management software

Provide integration with accounting and financial management software

Integrate with payment gateways and enterprise payments software

Deliver integrations with accounting modules of ERP systems

Provide standard invoice templates that can be customized by users

As reported in 10 PF 360 Capture reviews. Ability to convert invoices to digital formats such as PDF

Include workflows for approvals of invoices or payments

Process multiple invoices without human intervention

Allow users to consolidate multiple invoices into one

Match invoices with purchases and sales orders, as well as with payments

Track invoices based on due dates to identify overdue payments

Analyze variations between incoming and outgoing cash

Monitor KPIs such as time to process an invoice or erroneous payments

Track different types of payment such as deposits or partial payments

Supports a variety of file types (E.g. DOC, XLS, PPT, PDF, JPG, PS, TIFF, etc.)

Processes data from unstructured and semistructured data sources

Allows for mobile upload of documents and images

Provides AI and machine learning tools to accelerate data analysis

Provides image enhancement before processing (E.g. rotation, image cropping, removing noise, enhancing contrast, etc.)

Integrates with other applications to support document storage, document management, process automation and/or workflow management

Supports the conversion of uploaded documents to other file types

Supports operations on both Windows and Mac

Allows the user to process documents in various formats such as PDF, DOCX, and JPEG.

Gives user the ability to convert different types of documents into machine-readable text using Optical Character Recognition (OCR).

Enables the user to identify and extract specific entities like names, dates, and addresses from documents.

Gives user the ability to categorize sections of text within the document based on preset criteria.

Provides the user with the capability to validate the extracted data for accuracy.

Enables the user to process multiple documents in a single batch operation.

Gives user the ability to connect to automation technology, such as robotic process automation (RPA).

Enables users to search through the content of processed documents easily.

Gives user the ability to train custom machine learning models for specific data extraction tasks.

Provides the user with the ability to analyze the sentiment expressed in the textual content of the document.

Allows the system to understand the context of words and phrases for better data extraction and classification.

Provides the user with the ability to integrate the IDP system into other applications through APIs.

Assures the user that the system complies with industry regulations like GDPR.

Ensures that all data processed is encrypted for security.

Capability to perform complex tasks without constant human input

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting