AI Your Customers Will Love

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Welcome to another episode of Transformation professionals, sponsored by CxO Transform. Crafted to enhance the strategic acumen of ambitious managers, leaders and consultants. We hope you enjoy this episode about AI your customers will love. Here's Rob Llewellyn.

In today's session, we're diving deep into the world of conversational AI, exploring its transformative impact and the future it holds. The era when customer service interactions with chatbots were marred by frustration and technological limitations is gradually becoming obsolete. This shift is particularly evident in companies that are abandoning their outdated solutions in favor of advanced solutions powered by large language models like GPT4. New research from Oxford Academic shows that this new breed of AI based conversational interfaces can now have a profound impact on consumer brand relationships. Conversational AI service bots are now revolutionizing the marketplace, encompassing traditional retail, food and beverage, and even healthcare sectors. These autonomous systems are intricately designed to interact with and serve customers with deep knowledge of your company and its products and services. The Harvard Business Review carried out six experiments where customers engage with either a bot or or a human service provider. These interactions spanned various settings, from a coffee shop utilizing the Pepper service robot to a mobile phone company employing customer service chatbots on their website. The findings from HBR's field and laboratory experiments suggest that consumers perceive the use of bots as driven by cost cutting and profit maximization, often at the detriment of customer experience. This perception leads to customers feeling less satisfied with services rendered by bots compared to those provided by human beings. As more advanced bots powered by large language models such as GPT4 enter the market, firms may soon be able to deploy service bots that are not merely tolerated by consumers, but are genuinely embraced by them. But how can this be achieved? Well, research from the Harvard Business Review suggests four strategies. First, utilize the capabilities of large language models for enhanced service. The advent of large language models like GPT4 has endowed chatbots with the ability to surpass human employees in performance. These bots can understand a broad spectrum of customer inquiries and provide customized solutions that are not only appropriate, but but also more prompt and efficient than human alternatives. Companies can harness these models to train chatbots on vast amounts of relevant proprietary data through fine tuning. This process allows service bots to learn and respond to specific customer requests more precisely and swiftly, leading to greater customer satisfaction. It's been proven that when bots perceived as human provide significantly quicker yet accurate services, they outperformed human humans in terms of customer satisfaction. Companies that recognize the potential of large language models and invest in enhancing their service bot capabilities stand to gain a substantial competitive edge in the market. Next, share the economic gains of service automation with customers. In another study, HBR examined a coffee shop's chat based ordering system. Customer satisfaction with the bot service reached levels comparable to human service when incentives like a 20% discount for using the the bot operated channel were offered. However, economic benefit sharing doesn't always require discounts. Options like loyalty points, early access to sales, or preferential in store treatment can also be considered. Firms that actively share the economic benefits of service automation with their customers can mitigate the risk of decreased customer satisfaction due to bot deployment. Next, concentrate on tasks where bots excel over humans. It's crucial for managers to discern which customer facing tasks are best suited for automation. While the development of more powerful chatbots indicates that a greater number of tasks could be automated, the tasks where bots clearly surpass human employees are still relatively few. Avoid automating tasks where bots can only match human performance. Analyze each service task's automation potential by focusing on areas where bots can significantly outperform humans, particularly in simpler and more specific tasks, and finally, adopt human like conversational styles and language in bots The Journal of Consumer Research demonstrates that bots using a human like conversational style significantly enhance the consumer experience and create positive brand associations. Bots employing casual language that signals mutual understanding, such as a bot confirming a customer's choice with phrases like got it, great to see you like and then insert the option selected by consumer, have been shown to improve brand and customer experience, increase the likelihood of consumers accepting recommendations, and generate more positive word of mouth for the brand. As bots are often viewed as mechanical and impersonal, altering their conversational style represents a largely untapped but crucial factor in enhancing user experience, which in turn influences consumers perceptions of the brand. With the growing excitement surrounding GPT4 and other advanced generative AI technologies, we're on the cusp of another significant phase in service automation. However, to avoid repeating past cycles of exaggerated expectations and subsequent disillusionment, it's vital for companies to ensure that consumers don't see service automation simply a cost saving measure that benefits businesses at their expense. Consider investing in conversational AI solutions that are capable of providing distinctly superior service compared to most human employees. If you then accompany this by sharing the economic advantages with your customers, you will enjoy the benefits of your bots not just being tolerated, but actively welcomed by your customers. Remember, the future of customer interaction through AI is not just a concept, it's already a reality for many companies. I hope you enjoyed this episode. Until next time, keep innovating and implementing.

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