SMACC: Streamlining Invoice Processing with AI

SMACC

SMACC simplifies invoice processing with AI, offering automated data capture, accounting, and more for efficient financial management.
SMACC: Streamlining Invoice Processing with AI

SMACC: Revolutionizing Invoice Processing

SMACC is a game-changer in the world of invoice processing. It offers a comprehensive solution that automates and streamlines numerous aspects of financial management.

Overview

SMACC brings intelligence and power to invoice processing. It encompasses functions such as incoming invoice processing, digitalization, approval processes, payment runs, accounting, and supplier management. Everything is packaged neatly into an automated system.

Core Features

  • Automated Invoice Data Capture: Using the latest machine learning and AI, SMACC captures data from 30 invoice data fields and item information, providing market-leading capture automation. No need for complex invoice templates.
  • Rule-Based Accounting: Users can create rules for invoice processing, while AI helps recognize complex information and understand contexts.
  • Account Assignment with AI: After processing a certain number of documents, SMACC can generate account assignment proposals, enhancing the accounting process.
  • Document Management: It features a modern document management system that intelligently organizes financial documents and enables smart searches.
  • Supplier Management: Manage and keep track of suppliers with ease as master data from invoices is added to the supplier profile.

Basic Usage

SMACC is designed to be user-friendly with a fast setup that requires no training. It offers flexible approval workflows, allowing businesses to create processes that work for them. Users can run multiple businesses in one account and take advantage of AI-enabled data capturing for efficient invoice processing.

In conclusion, SMACC is a powerful tool that simplifies and optimizes invoice processing, helping businesses stay on top of their finances and processes in real time.

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