Normalized claim
Quantified impact: 30%
Avoided over 30% of unnecessary call center queries.
Last evidence check: Jun 1, 2026
MasOrange, a major Spanish telecommunications operator, faced mounting customer service challenges due to high call volumes and lengthy invoice-related queries. In response, PwC Spain and MasOrange developed a sophisticated AI-powered conversational agent using Microsoft Azure OpenAI services, deployed via WhatsApp. The solution automated invoice explanations leveraging Azure AI Search for Retrieval-Augmented Generation and Form Recognizer for invoice parsing, greatly reducing manual intervention. The chatbot continuously learned from interactions, optimizing responses while integrating seamlessly with existing customer service workflows. This innovative project was executed in multiple phases: knowledge base creation, invoice data extraction, prompt engineering, and iterative optimization. By improving response speed and accuracy, MasOrange could alleviate pressure on call centers, focus staff on complex issues, and enhance customer loyalty through a superior service experience.
Normalized claim
Quantified impact: 30%
Avoided over 30% of unnecessary call center queries.
Last evidence check: Jun 1, 2026
In response, PwC Spain and MasOrange developed a sophisticated AI-powered conversational agent using Microsoft Azure OpenAI services, deployed via WhatsApp
Primary read
Showing 2 of 2
Customer queries on WhatsApp trigger the Azure OpenAI chatbot. The bot retrieves invoice-related information via Azure AI Search, uses Azure Form Recognizer to extract invoice data, generates explanations using Retrieval-Augmented Generation, and adapts over time through iterative learning.
The case's original source is still reachable.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
Was this useful?
Community
No published comments yet.