Options Bundles Study

Abstract

This thesis examines how the selection of optional equipment on Axopar’s 37 models varies depending on climate and customer preferences. By analyzing sales data from 2024, patterns were identified in how options are most frequently combined. The study utilized Python and Excel for efficient data processing and discusses proposals for new bundle solutions while also comparing Axopar’s offerings with those of competitors. The purpose of the work was fulfilled by presenting data-driven recommendations that can simplify the configuration process and strengthen the customer experience. The thesis is confidential until further notice.