The power of AI in CX is unbelievable

This week was exciting, as I delved deeper into AI and its applications in the world of customer experience. It's exciting to see all the possibilities there are and how this is very crucial for high business reputation and customer satisfaction. 

The eleven drivers of customer experience are assortment, assurance, atmosphere, brand, convenience, ease of use, empathy, past cx, price, reliability, and responsiveness

After reading a research case study, I understood how Natural Language Processing is one of the key types of AI tools that can analyze customer feedback and classify them into at least one of the customer experience drivers. Tools like BERT and TF-IDF can really simplify how words are analyzed. BERT stands for Bidirectional Encoder Representations from Transformers. It can read a word from left to right and right to left, which normal processors can´t do. BERT also has the ability to identify which information is interconnected or what sentences relate to each other and which ones are independent of each other. TF-IDF is (Term frequency-inverse document frequency), another NLP technique which measures the importance of each word in a sentence. 

Both are reputable and boost business revenue while also enhancing customer experience in the competitive market today. 

All of these tools help make better business decisions, improve overall performance, save costs, and all in all creates a robust and efficient managerial framework. 

In conclusion, machine learning is a good AI technique for businesses to implement, as it motivates customers to provide their inputs, while also providing opportunities for positive, meaningful business growth.