With consumer interest in ChatGPT growing, business leaders and CXOs need to understand how their customers are using ChatGPT and how advanced NLP and AI are changing customer demands. , you can change your CX strategy. Eric Carrasquilla, CSG’s President of Customer Experience Solutions, explains why business leaders must adapt the use of automated, AI-powered tools to enhance their customer service operations.
The overwhelming customer interest in ChatGPT, now synonymous with generative AI, offers business leaders an immediate opportunity to reinvent their customer experience (CX) strategies. Generative AI has the potential to transform CX across industries, so rather than shy away from unproven tools, leaders everywhere should take AI and use it as intended. First, let’s analyze the difference between generative AI (ChatGPT) and conversational AI (chatbot). As customers, most of us interact with conversational AI on a daily basis. This is a familiar tool in the form of a chatbot or virtual assistant. Conversational AI uses machine learning (ML) to identify speech and text input to mimic human interaction. Generative AI uses deep understanding (DL) to identify patterns in a given dataset and uses that dataset to create new data rather than simply recycling old data. ChatGPT was trained on 45 terabytes of data, so it can pull a ton of information. This is a step beyond what conversational AI has achieved. Because DL enables language comprehension, not just language reversal. That is, one knows how to create new phrases and the other imitates old ones.
Before properly leveraging generative AI as a tool, CXOs (Chief Experience Officers) need to understand how their customers are using ChatGPT. Next, leaders need to see how these new tools are changing customer demands. Once leaders have a better understanding of ChatGPT and generative AI, CXOs, call centers, or other organizations, they can adapt to using automated AI-powered tools. These tools can enhance your customer service operations, improve the employee experience, and build personalized customer journeys at scale.
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Customer Expectations: Entertain Us
As with any new tool, ChatGPT’s new customer expectations range from achievable to fantastic. Aligning and meeting these expectations for the organizations they oversee is the CXO’s responsibility, and the only way to do that is to research and compare existing customer experience (CX) expectations. For example, personalization is important. This is always true of good CX. But as generative AI pulls information from everywhere, companies are expected to know their customers in a “personal” way, rather than giving them generic information. in fact, 82% Percentage of customers who expect companies to be able to respond to personal preferences without generative AI
This assumption raises customer expectations of chatbots, leading them to expect them to behave like ChatGPT. For example, chatbots are expected to understand context, recognize patterns, and use text and visual elements to provide immediate, personalized responses. The basic CX model can be made more accurate with generative AI’s ability to handle simple service problems and requests. A classic chatbot is expected to think and feel like a human rather than acting like a “bot”. 71% of customers say they are already happy using chatbots if they improve their customer experience, and the technology exists to make that improvement happen.
call center play
It’s important to understand one thing. Generative AI is a tool. It is not meant to replace human work, but to make those jobs easier and more efficient. AI and natural language processing (NLP) technologies like ChatGPT easily handle basic inquiries. Think of “Level 1” customer service as inquiries about basic information such as business hours, office location, and product availability. These answers are immutable and readily available online, allowing businesses to eliminate the human element and provide them via automated chatbots. This reduces the load on your call center while providing your customers with a more efficient, faster and cleaner experience. Reducing unnecessary workload frees up employees to focus on more complex tasks that require their attention, improving the employee experience.
Now, when we think about the more complex levels of the customer experience (levels 2 and 3), the human element becomes more important. Regardless of the pace of adoption, these technologies will not be a silver bullet for all customer service interactions. For “level 2” inquiries specific to the customer journey, we look for human agents to provide more accurate answers. However, ChatGPT may raise expectations for these interactions. You may see digital native customers approach customer service with more context than they used to.
Finally, given the more sensitive and complex “Level 3” investigations, like compromised bank accounts, the human element is nothing short of essential to CX. Businesses will want to demonstrate empathy, discretion, and precision when handling these highly sensitive issues. Ultimately, the human element of CX must merge with technical capabilities to deliver efficient, personalized and contextual experiences to customers. With the most basic level of customer service managed and triaged by automated systems, CX professionals focus on creating a white glove experience and faster problem resolution times for more complex customer needs can be directed.
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balance is everything
Ultimately, truly great customer experiences come from creating a fruitful balance between AI and human connectivity. As a tech expert and leader, you might be surprised at how quickly you adapt to ChatGPT and generative AI. Combining AI with personal human assistance is a delicate balancing act that brings us closer to the future of CX. As we move down this technology path, there will likely be multiple CX strategies created for every taste. Depending on your customer, you can choose between personal human connections or the digital experience favored by tech natives.
There is a revolution in customer experience, especially in customer-centric businesses like call centers. The expansion and evolution of generative AI will enable CXOs to adapt their operations to meet and accommodate changing expectations. As a result, customers will have a wealth of journeys to choose from that match their persona and preferences, and will see his experience as a more valuable and efficient brand. Drives loyalty.
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