Agent Empowerment: By handling simple tasks, AI supports the productivity of human agents, allowing them to focus on more complex or emotionally sensitive issues. It also provides real-time insights to agents and suggests the next step during the conversation.
According to a survey by the National Bureau of Economic Research (NBER), productivity increased by an average of 14% when customer support experts were able to access AI agents.5
All-day availability: AI-driven systems such as chatbots and virtual assistants are available around the clock. It uses websites, mobile apps and traditional call centers to provide support whenever you need it. For example, the modernization of the global camping company mentioned above has increased customer engagement by 40% across all platforms.3
Better emotional intelligence: Sentiment analysis allows AI to detect feelings such as frustration and satisfaction in customer communication, allowing businesses to respond more thoughtfully and prioritize urgent cases.
Overall Channel Consistency: AI will help customers gain consistent responses and experience across omnichannel platforms, including chat, email, social media, and phone calls.
Cost-efficient: AI Automation reduces costs by reducing reliance on additional staff for routine enquiries and repetitive tasks.
Strengthening quality control: AI can monitor service interactions in real time, identify agent coaching opportunities, require a second look, and continually improve service quality.
Faster response times: AI can respond instantly to customer inquiries, dramatically reducing wait times and make the support experience faster and more efficient.
Greater Accessibility: AI tools such as voice assistants and multilingual chatbots make it easier for customers with disabilities or language barriers to access support services.
Improved customer insights: AI tools collect and analyze huge amounts of customer data and help businesses better understand customer behavior, preferences and challenges to improve their products and services.
A personalized experience: By analyzing customer data and behavior, AI can provide highly personalized recommendations, answers and support journeys tailored to the needs of individual customers.
For example, IBM has collaborated with German media companies to implement a generative AI-powered assistant aimed at enhancing customer service and product recommendations. As a result, customers now receive personalized product suggestions that match their preferences at 10 times faster speeds than before. This innovation has increased customer satisfaction by around 15%.6
Active support: AI can predict that customers may encounter problems before they realize they are having problems, increasing customer satisfaction and loyalty.
Scalability: AI allows businesses to simultaneously handle large numbers of customer requests, streamline operations without hiring huge support teams, and grow without sacrificing the quality of their services.
