AI in OMS+ Project Overview
Summary
Juichia: So we are bringing machine learning and artificial intelligence into OMS+. So in order to design a solution using mashie learning for this requirement we are using data science to scope out the data that we have and the possibilities in machine learning that we have. We find out about the number of words in the material descriptions, the number of characters in the material descriptions, and other information like that. And then from such information we can formulate hypotheses about the data and about the problem that we have at hand. In feature engineering we make these additional features which we can then use in the final step of statistical data analysis where we use statistical methods to analyze and to confirm the hypotheses that we have come up with in the prior steps.