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AI-Driven Customer Support: Reducing Response Times by 80% in the Telecom Industry

Cases
reducing time telecom pro ai

The challenge

A leading telecom provider was struggling with an overwhelming volume of customer support inquiries, leading to long wait times and frustrated customers. Common questions about billing, data plans, technical issues, and service outages clogged the support channels, forcing agents to spend most of their time handling repetitive requests instead of resolving complex issues.

With thousands of support tickets generated daily, the company faced increasing operational costs and declining customer satisfaction. Live agents were stretched thin, resulting in delayed responses, inconsistent support quality, and high churn rates. The company needed a scalable solution that could handle routine inquiries while ensuring that more complex cases received human attention.

Solutions

Pro AI implemented an AI-powered customer support chatbot with advanced Natural Language Processing (NLP), capable of handling thousands of queries simultaneously. The chatbot was deployed across multiple channels, including the company’s website, WhatsApp, and Facebook Messenger, ensuring 24/7 availability and instant responses.
The AI was trained on the company’s FAQ database, support logs, and real customer interactions to understand and resolve the most common issues related to billing inquiries, plan upgrades, network troubleshooting, and service status updates. The chatbot seamlessly escalated complex or sensitive cases to human agents, ensuring a balance between automation and personalized service.

Technology should improve customer experience, not complicate it. AI enables businesses to provide faster, smarter, and more efficient support.

Satya Nadella, CEO, Microsoft

The AI-driven chatbot transformed the company’s customer support operations. By automating responses to 75% of incoming queries, the burden on human agents was significantly reduced. Customers received instant answers to their most common concerns, drastically cutting response times and improving the overall experience.

As a result, response times were reduced by 80%, ensuring that urgent inquiries were addressed promptly. The improved efficiency led to a 40% increase in customer satisfaction scores, while the company saved millions in operational costs by reducing the need for additional support staff. With AI-powered automation, the telecom provider successfully enhanced customer service while optimizing resources.

Key Outcomes

  • 80% reduction in response times – Faster resolution, improved customer experience.
  • 75% of queries handled by AI – Automating routine support inquiries at scale.
  • 40% increase in customer satisfaction – Quicker resolutions and seamless escalation to human agents.
  • Significant cost savings on support operations – Reduced reliance on live agents without sacrificing service quality.
Reduction in response
times
0 %
Increase in customer
satisfaction
0 %

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