Market basket analysis in retail

Abstract

En col·laboració amb la Universitat de Barcelona (UB) i la Universitat Rovira i Virgili (URV)

In this Master Thesis memory will be described a full end-to-end data science project performed in CleverData, a successful start-up specialized in machine learning techniques and analytics tools. Over all its capacities, it offers a huge variety of solutions to nowadays business needs from different domains. This project was performed for one of its client, an important retail company from Spain. It consist of analysing the market basket of customers. Thus, the main goal is to find which items are purchased together in their stores. Through the memory, the reader will see how, step by step, the project grows. Since the first step of defining objectives, until the last one of results delivery. Moreover, the reader will see one of the most promising tools used for machine learning as a service nowadays, BigML. At the end of the project, the reader will have a general idea how data science projects are structured, and how machine learning can be used to solve real problems in today’s companies.