We innovate to improve the quality of our services and maintain a high level of customer satisfaction.
We have integrated artificial intelligence into our customer care process, thanks to the expertise and work of Meryem Cherif, engineer in industrial engineering, artificial intelligence and data science, specializing in Machine Learning, Deep Learning, natural language processing (NLP) and data analysis. The model used is capable of analyzing time series using advanced statistical methods and Machine Learning, which offers considerable advantages to our support team and, by extension, to our customers!
What technologies do we use?
At NEO-FUGU®, we’re serious about technology!
Several tools were very useful to us during development:
- Python: the main programming language.
- Streamlit : provides an interactive user interface.
- Prophet : a prediction model based on Machine Learning.
- Scikit-learn : allows performance evaluation with mean absolute error (MAE).
- Pandas : enables data manipulation and analysis.
We tell you how it works:
- Data loading : the user imports a CSV or Excel file containing ticket history.
- Tratment and preparation : data is cleaned, formatted and organized by week and ticket type!
- Modelling with Prophet : the algorithm generates a forecast model for each ticket type.
- MAE calculation : predictions are compared with historical values to measure accuracy and limit errors.
- Results display : visualization of forecasts and download predicted data.
And here's the result !
Thanks to AI, our support can predict the future of customer requests, not in a crystal ball, but in the data! 🚀What does it mean ? Less stress, more anticipation, and always top-notch service. ✨