SUPPLIER SEGMENTATION: A CASE STUDY OF MOZAMBICAN CASSAVA FARMERS

Over 3 000 Mozambican smallholder farmers supply cassava to Company XYZ. XYZ needs an effective supplier segmentation method gain insight into how it should direct its resources for the greatest impact. This paper describes application of the  k -means algorithm, agglomerative hierarchical clustering, and a self-organising map with ward clustering segment these suppliers. The insights gained from cluster analysis are then used provide recommendations suggest suitable intervention strategies manage each proposed offers users basis system that is more robust than commonly qualitative models.