The objective of applying artificial intelligence to decision making is to have advanced information, analyzed and extracted from historical behaviors based on data, which allow predictions of future behaviors.
This methodology can be applied to multiple businesses and sectors, as long as there is an important source of historical data that can reliably identify patterns and models. Some of its most common uses are fraud detection, Demand prediction or application in logistics.
Making decisions based on the analysis and interpretation of historical data gives a clear competitive advantage, since it takes into account many factors and the correlation between them, something that at a human level is impossible to interpret.
Bambrai offers advice in a pre-development phase to analyze the convenience of applying this type of technology to each specific case. We accompany our customers throughout the entire project, from design to execution and start-up.