Multinational Consumer Electronics Company

Adding an AI layer to the internal knowledge platform and automating answer generation for better information discovery

Challenge

• The customer has an internal platform where teams can share information in various formats, including blog posts, dashboards (e.g. Tableau), and experiment results (A/B testing results of proposed features)
• Time-consuming process of synthesizing information from multiple documents to answer specific questions
• One of the main technical challenges was the necessity to adopt and integrate the internal Language Learning Model (LLM) for the platform
• Managing and processing multiple files with ad-hoc formats to ensure consistency and compatibility across the platform

Solution

• Developed and implemented custom parsers to handle the diverse and ad-hoc file formats, ensuring accurate extraction and storage of information from diagrams and tables in dashboards
• Deployed a Retrieval-Augmented Generation (RAG) solution on top of the extracted data to generate quick answer drafts from the retrieved resources

Business Impact

• Created foundation for future AI-powered knowledge management solutions
• Decreased time spent in meetings asking for information that’s already documented
• Developed reusable components for RAG implementation in other internal tools
• Cross-referencing information from multiple sources automatically
• Reduced dependency on subject matter experts for basic information