Energy management company upgrades document processing

Our client has been a global leader in energy management and digital automation solutions for over a century. As a Fortune 500 company serving millions of customers across 110+ countries, they process millions of documents annually. Their expertise and vertically integrated products have created a seamless experience for their clients across 100s of industries. Their core business is in the energy sector, providing hardware solutions with digital automation.

Our client processes millions of documents in different formats and languages from clients worldwide. The problem is exacerbated when extracting data from various document types like invoices, POs, or order forms.
 

Before Nanonets, they used a traditional OCR provider for their document processing. They faced several challenges:

1. Accuracy: Their accuracy was ~75%, which resulted in time spent reworking those documents. The accuracy could be much lower for certain document types or languages!
   
   
2. User-friendly: They had to spend weeks training their employees to use their traditional software.
3. Flexibility: To enable end-to-end automation, they required several features to be built for their unique use case and needs.
   
   
4. Automation: Their OCR tool only provided document extraction but lacked other automation features. They had to verify each document based on various rules manually.

They needed a user-friendly solution tailored to their needs that could capture documents accurately and allow for seamless automation. 

Nanonets AI has specialized models for different document types that can provide high accuracy compared to traditional OCR tools. The client could automate document forwarding to Nanonets. Post this, the AI could detect the correct document type and assign it to a specialized model. This modular approach allowed for much higher accuracy in data extraction! 

Nanonets is quite flexible and were able to build customizations for data protection, user interface, and tool integrations. Unlike traditional OCR, users could start with our user-friendly interface in a few hours.

They created an end-to-end automation solution to pick files from email, sort them, extract data, check for validation rules, and export to their proprietary software.