Miroglio Fashion: AI-Powered In-Season Inventory Optimization

Evo is proud of our academic collaborations. This is a way we can conduct research with some of the most brilliant scientists and researchers around the world to build solutions that help businesses compete in today’s increasingly competitive markets through customer-centricity. That’s why Evo CEO Fabrizio Fantini jumped at the chance to work with Harvard Business School Professor Sunil Gupta to participate in a case on Miroglio’s huge success increasing profits through in-season inventory optimization. This case study details how Miroglio used EvoAI to respond quickly to the smallest changes in demand and dynamically rebalanced inventory across the network to maximize GMROI.

by Sunil Gupta

Abstract

Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can artificial intelligence and machine learning replace human intuition in this industry?