Adaptive ERP Architecture for Industrial and Transport Companies: Simulation and Marketing Effects
DOI:
https://doi.org/10.52575/2687-0932-2025-52-4-818-824Keywords:
ERP system, adaptive architecture, transport logistics, digital twin, event-driven architecture, machine learning, marketing information systemsAbstract
The article examines the design of an adaptive ERP architecture for industrial and transport logistics enterprises. The need to shift from universal ERP platforms to industry-specific solutions that consider the dynamics of logistics processes is substantiated. The proposed model integrates micro-services, event-driven architecture, digital twins, and online machine learning. Simulation experiments confirmed the achievement of key KPIs (route recalculation time ≤3 minutes, recommendation relevance ≥90 %). The practical value for marketing is highlighted: improving transparency, accelerating responses to customer requests, and increasing loyalty.
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