Customer Support (Chatbots & Voice Assistants)

From use case: Customer Support (Chatbots & Voice Assistants)

The financial services sector demonstrates the measurable impact of AI-driven customer service. In January 2024, payments provider Klarna launched an AI assistant that managed two-thirds of its customer service interactions within its first month. The assistant achieved satisfaction scores comparable to human agents, reduced repeat inquiries by 25%, and cut average resolution time from 11 minutes to just two, translating to annual savings equivalent to hundreds of full-time positions.

Telecommunications companies have seen comparable results. Norwegian mobile operator Telenor’s AI chatbot, Telmi, improved customer satisfaction by 20% and increased revenue by 15%. British telecommunications provider Vodafone reduced cost-per-chat by 70% after introducing its AI chatbot, demonstrating that automation can successfully manage technical and billing inquiries in highly regulated environments. In retail, Swedish apparel company H&M reported that its generative AI chatbot reduced response times by 70% while delivering personalized product recommendations. Even in more traditional industries, results are clear: Pacific Gas and Electric Company built a chatbot using Microsoft Copilot Studio that now saves approximately $1.1 million annually in help desk costs.

Marketwide data reinforces these individual examples. The average return on investment (ROI) for AI in customer service is $3.50 for every $1 invested, with top performers achieving returns up to eight times higher. Salesforce Inc. data shows that 95% of decision-makers at companies using AI report lower costs and time savings, while 92% say generative AI directly improves customer service performance.