CASE STUDY — CROSS-INDUSTRY
RAG Chatbot for Enterprise
Give users instant, accurate answers from your knowledge base
Sector:
Cross-industry
Focus:
RAG Chatbot & Conversational AI
BUSINESS CHALLENGE
Slow access to information driving high support volumes
Low user satisfaction scores as users frequently reached out for help finding relevant information, leading to high volumes of repetitive queries and lengthy support interactions, while agents struggled to locate accurate answers quickly.
SOLUTION IMPLEMENTED
A chatbot delivering instant, accurate answers from internal knowledge
We implemented a chatbot enabling users to access relevant information directly through natural conversation. It provides precise, context-aware answers, reducing support requests and giving agents quick access to the information they need.
TECHNOLOGY
Built to retrieve, search, and generate accurate answers in real time
DATA PLATFORM
Redis
Stores transformed documents and data for quick access, ensuring efficient data management across the chatbot’s knowledge base.
SERVING
Chatbot Interface
Custom web app hosted on Azure Container Registry, delivering a responsive, interactive dashboard for exploring geospatial data.
AI
AZURE FOUNDRY
Interprets user queries and generates accurate responses using natural language understanding.
Results & ROI
What changed once the chatbot went live
COSTS SAVINGS
Reduced call handling costs by up to five times through automation.
EFFICIENCY
Streamlined information retrieval for both customers and agents, reducing response times and manual effort.
SATISFACTION
Improved access to accurate information, leading to higher satisfaction scores and a better overall user experience.
