[Fundamental Principles and Concepts of an AI Management System] A retail company wants to implement a system that can predict customer buying…

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.