Adopting Artificial Intelligence in ERP Logistics and Distribution

While AI has transformed various industries, its practical application within ERPs remains superficial. The market currently lacks specialists capable of architecting deep integration, leaving most demonstrations in the theoretical realm. Drawing on 30 years of experience in IT and logistics, the author proposes the “ORT” (Look, Note, Research, and Organize) framework. Inspired by military and cybersecurity methodologies—such as Red Flag and Capture the Flag—ORT aims to map risks, capture strategic data, and conduct joint exercises to produce tangible results in the short term. Historically, ERPs evolved from 1950s inventory control to the modular consolidation of the 1990s led by giants like SAP and Oracle. However, many current solutions still rely on technological “quick fixes”, struggling to migrate legacy cores into 100% web-based, API-driven architectures. The real revolution occurs when AI ceases to be a mere add-on and begins to analyze the “Pandora’s box” of corporate data—both structured and unstructured. By applying data science to contracts, emails, and payments, AI can identify patterns and causality, shifting from reactive to predictive management. Finally, the text emphasizes that logistics is the true nerve center of successful organizations. Global leaders treat distribution as vital infrastructure. Survival in the coming decade will depend on leaders’ ability to view technology not as a cost, but as an essential engine for economic sovereignty.