My interest is to explore a particular machine learning algorithm, a lazy learner, k-Nearest Neighbour (k-NN) as a valid alternative for retail demand forecasting: its advantages regarding classical statistical methods like linear regression and some of its complexities, as the extrapolation scenario and the forecast reliability.