The Step-By-Step Guide to Reducing Processing Costs and Errors with AI/ML Powered OCR
Whether you already employ a full end-to-end e-Invoicing solution or you’re just beginning, the first step in any automation journey is the digitization of invoices. This session will focus on the challenges and limitations of using OCR by itself, layering OCR technology with AI and ML in order to read PDF’s and streamline automated processes, and provide use cases and project applications of AI/ML layered OCR technology.
Whether you already employ a full end-to-end e-Invoicing solution or you’re just beginning, the first step in any automation journey is the digitization of invoices. Companies that have utilized OCR powered by AI and ML to process invoices have seen time-savings of over 20% and a 13% reduction in errors. However SSON’s survey “The Global State of AP Automation” reveals that 60% of respondents cited a lack of internal resourcing to support projects as a key challenge preventing the switch to automated AP solutions. This comes as no surprise.
Today, the most common method of invoice exchange, PDF, can’t be uploaded and processed in even the most advanced e-Invoicing systems. This leaves accounting departments to manually input PDF information into their electronic systems – slowing down workflows that has a domino effect on the entire invoicing process. In partnership, SSON and Comarch will be sharing their insights into overcoming the key challenges of digitizing invoices in order to reduce manual work and free up employee time to focus on more challenging tasks.
Sign up today and participate in the conversation this October 26. Join CoMarch’s Kenneth Taylor, Business Development Manager, Data Exchange and Tomasz Spluszka, Global Consulting Director, Data Exchange alongside Jordan Mullins, SSON’s IA Analyst to discuss…
- The challenges and limitations of using OCR by itself
- Layering OCR technology with AI and ML in order to read PDF’s and streamline automated processes
- Use cases and project applications of AI/ML layered OCR technology
Speakers
Kenneth Taylor
Business Development Manager, Data Exchange
Comarch
Based out of New York City, Kenneth is a Business Development Manager at Comarch who is primarily responsible for the growth and success of Comarch’s data exchange products in the North American market. He is passionate about e-Invoicing and recognizes its value in reducing complexity and costs in the AP/AR process.
Tomasz Spluszka
Tomasz Spluszka Global Consulting Director, Data Exchange
Comarch
Tomasz Spluszka graduated from Cracow University of Economics with specializations in Economics and International Relations. He has been working for Comarch since 2006, when he began his career as Key Account Manager in the Business Services Unit. In 2007, he was promoted to Business Solution Manager in the Comarch e-Invoicing Business Unit. In his current role as the manager of Comarch e-Invoicing consulting department, he is responsible for international operations.
Jordan Mullins
Head of Editorial
SSON
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