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Description
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.
Semeion directs its research towards the conceptualization and design of Artificial Organisms composed of adaptive systems based on Artificial Neural Networks and Evolutionary Algorithms for the...
