CASO PRÁCTICO — MULTISECTORIAL
Chatbot RAG para Empresas
Give users instant, accurate answers from your knowledge base
Sector:
Multisectorial
Enfoque:
RAG Chatbot & Conversational AI
DESAFÍO EMPRESARIAL
Slow access to information driving high support volumes
Low user satisfaction scores as users frequently reached out for help finding relevant information, lo que genera high volumes of repetitive queries y lengthy support interactions, while agents struggled to locate accurate answers quickly.
SOLUCIÓN IMPLEMENTADA
A chatbot delivering instant, accurate answers from internal knowledge
Implementamos un 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.
TECNOLOGÍA
Diseñado para recuperar, buscar y generar respuestas precisas en tiempo real
PLATAFORMA DE DATOS
Redis
Stores transformed documents and data for quick access, ensuring efficient gestión de datos robusta across the chatbot’s knowledge base.
ENTREGA DE DATOS
Chatbot Interface
Aplicación web personalizada alojada en Azure Container Registry, que ofrece un panel de control responsivo e interactivo para explorar datos geoespaciales.
IA
AZURE FOUNDRY
Interprets user queries and generates respuestas rápidas y precisas using natural language understanding.
RESULTADOS Y ROI
What changed once the chatbot went live
AHORRO DE COSTOS
Redujo los call handling costs by up to five times mediante automation.
EFICIENCIA
Se optimizó el information retrieval for both customers and agents, reducing velocidad de respuesta y manual effort.
SATISFACCIÓN
Improved access to accurate information, lo que generó mayor satisfaction scores and a better overall user experience.
