Investigative AI applied to E-Commerce

About this session

The study analyzes a global e-commerce system using AutoCM and Meta-AutoCM models to go beyond traditional sales statistics. AutoCM identifies direct associations between variables (markets, products, platforms), while Meta-AutoCM reveals functional similarities and systemic impact. Results show that geography is the main driver, with markets influencing the system far more than product categories. It highlights “sentinel” markets that detect early changes and “bridge” countries that signal their spread toward Europe and the US. The combined approach provides a strategic map for geographic segmentation, early-warning monitoring, and optimization of pricing and sales strategies.

Speakers

Massimo Buscema

Scienziato, esperto in reti neurali artificiali e sistemi artificiali adattivi, Semeion Research Center of Sciences