Zed contributed to an innovative AI project within Fluvius in which we took a closer look at customer interactions:
💎 How do customers communicate with Fluvius?
💎 What is the tone or sentiment?
💎 How complete and helpful are the answers?
And above all: how can we learn from that at scale?
He built a smart dashboard that brings insights to life and integrates several of our existing AI solutions:
✅ Automatic summaries: AI intelligently groups similar conversations and independently distils them into a clear summary.
✅ Mapping the most frequently asked questions: Analysis of large volumes of customer interactions to detect frequently asked questions through intelligent clustering.
This study is already a very strong starting point to build on in the future. What used to be impenetrable volumes of data - with more than 2 million customer interactions per year - can now be made understandable, usable and scalable with artificial intelligence. AI helps us understand not only what is being said, but also how, and why that matters.
Thank you Zed for your commitment, fresh perspective and the Pokémon expertise we got for free as well! 😉
