10 Best AI Tools for Customer Service: Pros, Cons, and Pricing

Modern-day customers are picky and demanding, with as many as 79% claiming they wouldn’t complete their order if customer service was unresponsive. The truth is, hiring dozens of support agents is a thousand times more expensive than implementing an AI customer service tool. So, not only do AI solutions bring a lot of money to your business, they also save plenty of expenses. When customers phone your support line, conducting transcription and even sentiment analysis by AI saves time and improves accuracy before the call ever reaches a human service representative. AI in customer service can provide a cost-saving advantage as it has the capacity to automate tasks, cutting down on the need for big support teams. This allows companies to reduce their expenses due to lowered labor costs and improved operational performance.

Cause even if you manage to solve 90% of the support requests with fully automated AI, 10% must be analyzed and processed by humans. For example, a chatbot can display relevant pages for certain products and services if clicks have trended on specific websites for specific topics in the search engine. As I anticipated at the beginning of this post, this AI will massively help customer support agents in many ways. Another great source of information is the canned responses in your Customerly Project. These are the kind of responses you use with your customers, but you don’t share publicly on a knowledge base. Brainfish offers options for calling, emailing, or chatting with a human agent.

The 10 Best AI Solutions for Customer Service

Business owners know that great customer service is the key to long-term, sustainable growth. Nearly 70% of consumers said they would pay more for a brand that is known to offer good customer service. While some debate whether AI will replace customer service roles, we believe AI will instead transform and indeed improve support roles.

And by keeping items reliably in stock, effective inventory management can keep stock-related inquiries from ever reaching service agents. By implementing machine learning to datasets that include a breadth of customer information and behavior, sellers can send customers personalized recommendations, timely promotions, or targeted check-ins. Opinion mining can also be used to analyze public competitor reviews or scour social media channels for mentions or relevant hashtags. This AI sentiment analysis can determine everything from the tone of Twitter mentions to common complaints in negative reviews to common themes in positive reviews. But the compulsively antisocial part of my psyche that makes me not want to make phone calls also appreciates these shifts to using AI in customer service.

How Netguru can help with introducing AI into customer service

The transition to AI demands careful consideration of how it aligns with existing services and technologies. Implementing a hodgepodge of AI applications can complicate operations and create data silos, hindering agent performance. In customer service and other applications, AI will almost certainly see rapid growth over the coming years as it continues to disrupt customer service. However, there are other ways that consumers encounter AI voice assistants, including over the phone. OvationCXM today announced the infusion of generative artificial intelligence (AI) into our CXMEngine platform.

However, when you use AI, the thank-you messages are automatically detected as messages that aren’t action items, and no new tickets are created. Notably, it’s the only conversational AI chatbot with a free version on the market. The full version of Lyro is available on the Tidio+ plan as well as an add-on to any Tidio plan. This way, your support team and Lyro always work in sync with each other, for your customers to get fast and relevant responses quickly.

Best AI Chatbot for Customer Service (10x Your Customer Service Efficiency)

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