Shelf Blog: Customer Service

Key Takeaways Poor data quality is silently killing customer support AI initiatives, regardless of how much you spend on AI models or vendors Bad data poisons AI training, routing, deflection, and agent assist, making ROI impossible to achieve The solution is proper data inventory,...

How can you improve agent productivity? You have access to so much technology as a customer support leader these days, yet studies show frustrated customers complain most about things like ineffective and slow customer support agents. If customer support technology is so good—the platforms, IVR...

This article presents 10 Generative AI prompts tested and refined to improve customer service effectiveness excerpted from our eBook, 51 Tried and Tested Generative AI Prompts for Customer Service Agents. With Generative AI, agents can rapidly generate personalized, context-aware responses across...

Listing use cases for artificial intelligence (AI) is like describing how to use the internet — the AI implementation examples are nearly infinite, constrained only by the inventive minds behind the wheel. AI is being implemented in business practically everywhere, from personalizing sales...

Customers have more ways to communicate with your organization than ever before, which presents a challenge for designing a seamless customer service journey. Multiple touchpoints, disconnected experiences, and increased costs can hinder customer satisfaction. Overcoming these challenges requires...

The accessibility and ease-of-use of your organization’s knowledge results in an agent who is immediately helpful at resolving customer questions. With one implementation, your support center can benefit from the service benefits of AI customer support including greater accuracy, better knowledge integration, and reduced onboarding costs.