Engineering intelligent operational systems through automation, data and AI.
20+ years in logistics, supply chain and operations — now combining real-world operational experience with modern technology to build practical digital systems.
My approach starts with understanding the operation — the people, processes, data and decisions behind it.
From there, I use process engineering, structured data, automation and modern software to turn operational requirements into practical digital systems.
A production-inspired logistics operations simulation platform designed to demonstrate how real-world delivery operations can be translated into a digital operational system.
A live food-delivery operations simulation covering orders, dispatch, drivers, routes, demand visibility, and an isolated visitor demo session. The public demo runs separately from operational workflows while using the same operational data model and routing concepts.
Technology: PostgreSQL · n8n · REST APIs · Docker · Next.js
Live demonstration · fdoip.erwinbretana.com
Technology works best when it starts with a clear understanding of the operation.
Understand the business process, operational requirements and constraints.
Translate the process into workflows, data and clear operational requirements.
Design the system architecture, integrations and workflows around the operation.
Automate repetitive activities where automation creates practical value.
Use operational information, feedback and measurable results to continuously improve the system.
Experience across logistics, supply chain, warehouse operations, marine operations, FMCG, engineering projects and agricultural operations.
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