A global engineering enterprise experienced an increase in support tickets related to product data, manuals, and service information. Engineers were spending substantial time manually searching across databases and PDF documents instead of focusing on high-value engineering tasks. The absence of a unified search solution caused delays in retrieving parts specifications, troubleshooting procedures, and maintenance content. This manual process slowed response times, hindered decision-making, and reduced overall productivity. The organization required a solution capable of rapidly accessing and delivering accurate, context-specific engineering content from multiple data sources.
Our Solution
TechVedika developed a secure, intelligent AI chatbot powered by LLM capabilities and a Retrieval-Augmented Generation (RAG) framework to provide effortless access to product data and technical documentation. Designed for natural, conversational interaction, the solution streamlines data discovery, accelerates support workflows, and significantly boosts productivity for internal teams, all while maintaining strict security controls to protect sensitive information.
- Conversational UI built using React with an Azure Copilot-inspired theme; integrated with OKTA for secure user authentication.
- Smart Product Search enables intuitive queries by item number, label, part family, and product function for faster information retrieval.
- Intelligent information retrieval leverages a RAG model on PDFs to deliver accurate, contextual responses with citation support.
- Captures user feedback and maintains conversation history for improved learning and auditing.
- Facilitates seamless support ticket creation for thumbs-down feedback and extracts chat content for analysis.
- Employs dynamic conversational flows to handle product group changes, topic shifts, and restart smoothly.
The Impact
- Achieved over 85% accuracy in handling product and PDF-based queries.
- Significantly reduced manual effort in retrieving item comparisons and document insights.
- Ticket generation and response capture via chatbot, streamlining internal support processes.
- Laid the foundation for scalable, reusable AI models for future enhancements.
Conclusion
Our chatbot solution demonstrates the power of Gen AI in unlocking enterprise knowledge. Combining secure architecture, intelligent search, and advanced document understanding, the platform has delivered measurable gains in productivity and support efficiency. This success paves the way for future phases, where we will integrate advanced features, deliver deeper insights, and further amplify business impact.