Big data analysis techniques for supporting product lifecycle management in the fashion industries

A peculiar characteristic of fashion companies is their natural predisposition to transformation. In fact, they design new collections at least two times per year. Introducing new collections means developing simultaneously hundred of new products that has to match customer’s tastes/trends that evolve very fast. By acquiring and monitoring customers’ information from social and digital channels, fashion industries can capture customer’s tastes/trends picture. This requires analyzing a huge amount of heterogeneous data, such as feelings, positions, etc. In this scenario, the use of big data analytics can provide new insights on customer’s tastes/trends. Hence, the objective of this research is to examine how some of the most important and sophisticated applications of Big Data Analytics could increase customers’ satisfaction and bring advantages to the New Product Development process itself.