Mail Automation

Mail Automation

Improvement due to market-leading OCR

Improvement due to market-leading OCR

> 95 %

OCR accuracy

for handwriting and machine-print

> 99 %

Automation

of flow processing

Golem.ai, a French software vendor, enhanced its automated email processing solution “InboxCare” by integrating PLANET AI’s IDA Recognition. This integration improved OCR accuracy to over 95% and automated more than 99% of end customer workflows, even for challenging document types like handwritten content. The collaboration showcases the successful fusion of advanced AI technologies to achieve exceptional efficiency and accuracy in high-volume document processing.

Golem.ai

Golem.ai, a French software vendor, offers automated email processing through its SaaS solution, InboxCare. This solution utilizes their proprietary technology to analyze emails and attachments, automating tasks such as categorization, data extraction, and drafting responses.

Sectors

Insurance

Insurance

Logistics

Logistics

Retail

Retail

Defense

Defense

Mail Automation_Testimonial
Killian Vermersch
CEO, Golem.ai

“IDA both increased the quality of our results and enabled us to process new types of documents, including handwritten content. When integrated with GPUs, PLANET AI’s IDA can process a vast number of documents using minimal hardware. This efficiency allows Golem.ai to process millions of documents while adhering to its commitment to frugality.”

Challenges of mail automation

InboxCare, Golem.ai’s software product, specializes in processing incoming emails by categorizing them, extracting key information, and even automating responses in high-volume or high-value incoming flows. The product utilizes an OCR engine to process attachments like PDFs, scans, and images. Accurate transcriptions are vital, as they form the foundation for subsequent natural language processing (NLP) tasks.

Mail automation_Challenge 1_OCR accuracy

OCR accuracy

Mail automation_Challenge 2_Handwriting recognition

Handwriting recognition

Mail automation_Challenge 3_Low-quality scans

Low-quality scans

The low input quality led to inaccurate message processing and thus weakened the value proposition of Golem.ai.

Solution for mail automation

Planet AI’s OCR and ICR engine outperformed 20 competitors and was distinguished by its market-leading accuracy. It increased workflow automation for end customers from 95% to over 99% while halving processing time.

Highest accuracy

Increasing workflow automation

Handwriting Recognition

Handwriting recognition

Expanding the value proposition for end customers

Scaling the business

Secure data processing with minimal hardware requirements

Mail Automation_OCR Benchmark

Market-leading OCR accuracy

Download the benchmark analysis of leading commercial and open-source solutions like Microsoft Azure, Tesseract, and many others.

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