Industry: Energy

Implemented Document AI for efficient document processing. Enhanced understanding of customer experience across multiple channels. Leveraged generative AI technology for accurate and immediate results.

Benefits & Results

  • Efficient Document Processing: Significantly improved the efficiency and accuracy of document processing and classification.
  • Enhanced Customer Insights: Provided a comprehensive understanding of customer experiences across multiple channels.
  • Immediate and Accurate Results: Utilized generative AI technology to deliver accurate results quickly, improving operational efficiency.
  • Improved Customer Satisfaction: Enhanced the understanding of customer experiences leading to better service quality and customer satisfaction.
  • Operational Excellence: Enabled Raizen to manage their documentation more effectively, reducing costs and improving overall efficiency.

Background

Raizen is a leading company operating in various sectors facing significant challenges in managing their vast amounts of structured and unstructured documentation. They needed a solution to integrate, classify, and automate the processing of documents while understanding customer experiences across various channels including video, images, text, chats, and social media.

Challenges

Raizen’s primary challenges included managing and processing large volumes of structured and unstructured documentation, integrating and automating document processing, and understanding customer experiences across diverse communication channels.

Solution

NowVertical provided a comprehensive AI solution to address Raizen's documentation challenges:

Document GenAI Solution: Developed a Document AI solution to create custom processors for classifying, splitting, and extracting structured data from documents.

Generative AI Technology: Utilized generative AI to deliver accurate results on a wide variety of documents.

Cross-Channel Integration: Integrated data from various customer interaction channels to provide a holistic view of customer experiences.

Implementation

  • Project Kick-off: Formed a team of Scrum Masters, Data Scientists, Data Engineers, and Machine Learning Engineers.
  • Document AI Development: Developed and implemented custom processors for document classification and data extraction.
  • Technology Utilization: Leveraged GCP, AWS, and Python for robust and scalable AI solutions.
  • AI Deployment: Deployed generative AI models to ensure accurate and efficient document processing.
  • Customer Experience Analysis: Integrated various customer interaction channels to analyze and understand customer experiences comprehensively.
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