[Fundamental Principles and Concepts of an AI Management System] A retail company wants to implement a system that can predict customer buying behavior based on their browsing history and past purchases. Which AI concept would be most suitable for developing this predictive system?

Predicting customer purchasing propensity from historic behaviour is a classic supervised learning task; ISO/IEC 42001 and university curricula define such pattern-recognition problems as typical applications of machine learning, which uses statistical models trained on past data to forecast future outcomes.

A. NLP analyses text or speech, not click-stream or transactional data patterns.
B. Computer vision processes images/videos rather than tabular behavioural data.
D. Deep learning is a sub-set of ML; not required unless very complex features demand it.

1. ISO/IEC 42001 (DIS 2023) Annex A.3.2 “Machine learning for demand prediction,” p. 48.

2. MIT OCW 6.0002 “Lecture 4: Machine learning basics,” slides 10-15.

3. Bishop, C. Pattern Recognition and Machine Learning, §1.1, p. 1, Springer 2006.