. Large language models are very good at extrapolating from data points and predicting what the user might want to see next. As a result, the system can create a list of novel ideas for how to solve a particular customer need and curate a set of recommendations for products and services that help fulfill the unmet need.back to the customer. Here, one can take advantage of large language models’ ability to write without any human involvement.
To illustrate, consider what has happened to dockless scooter and bicycle sharing. A new technology enabled the futuristic user experience where a customer can find a bike, remotely authorize its use, enjoy it, and drop it off wherever desired. This approach was so appealing that multiple mobility providers decided to offer this exact same customer experience.
If you are using 80s technologies and five different applications to generate an answer for the customers with expectations of todays efficiencies? The focus needs to be balanced. Not at the expense of one
Couldn't agree more. Seems customer service is on the wane these days..although I have particularly noticed it in the health care sphere. Disturbing.
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