Career Operating System

Helping businesses improve operations through logistics expertise, workflow automation, and practical system design.

I design practical systems that improve visibility, reduce manual work, and streamline business operations through logistics expertise and modern automation.

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0+
Years Operations Experience
Multiple
Industries Served
AI & Automation
Portfolio Projects
Self-Hosted
Automation Lab
Projects

Real systems, built and tested against real data.

Featured ProjectLive Demo

AI-Assisted Logistics & Delivery Operations Simulation Platform

An AI-assisted logistics and delivery operations simulation platform built to demonstrate operational visibility, workflow automation, routing, and live delivery tracking.

n8nPostgreSQLLogistics Automation
Live Demo

Explore the live simulation directly inside this portfolio.

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Overview

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.

My Role

Architecture, database design, workflow automation, logistics simulation logic, UI/UX decisions, and deployment. I designed the system around a PostgreSQL source of truth, n8n for workflow automation, and a Next.js operations interface.

Architecture

VisitorNext.js / FDOIPn8nPostgreSQLLeafletOpenRouteService

Technologies

Next.jsFrontend & routing
n8nWorkflow automation
PostgreSQLSystem of record
LeafletMap & route rendering
OpenRouteServiceRoad-accurate paths
DockerContainerized services
TraefikReverse proxy

Results

  • Simulates realistic daily order volume across multiple restaurant locations
  • Automates dispatch-to-delivery decisions end-to-end through n8n workflows
  • Renders live delivery routes with road-accurate paths via ORS integration

Lessons Learned

  • Isolating simulation data from operational data kept metrics honest
  • Deterministic per-order jitter reads far more realistic than pure randomness
  • Caching provider routes avoided redundant calls and preserved accuracy
More case studies follow this same structure as they're added — no redesign required.
Process

How problems become solutions.

Every project follows an iterative approach focused on practical improvements, measurable outcomes, and long-term maintainability.

01

Problem Identification

Define the operational gap in plain terms before touching a tool.

02

Solution Design

Map the workflow, the data, and the decision points it needs to hit.

03

Implementation

Build the system in working slices against real or realistic data.

04

Result Review

Run it against live conditions and record precisely what happens.

05

Feedback

Compare outcomes to intent and flag what still needs to change.

06

Continuous Improvement

Fold fixes back into the system without breaking what works.

Services

Business solutions, not a menu.

Services are tailored to each project based on business objectives, operational complexity, and expected outcomes.

Workflow Automation

Turn manual, repetitive steps into automated n8n workflows.

Business Process Automation

Redesign processes end-to-end, not just the parts that are easy to automate.

Operations Improvement

Find where time and accuracy are lost, then close the gap.

Dashboard Development

Give teams one place to see orders, dispatch, and performance.

Logistics Support

Apply hands-on logistics experience to real delivery and fulfillment problems.

Process Documentation

Write down how the system actually works, for the people who run it.

Operational Reporting

Structured, recurring reporting built on top of real operational data.

System Architecture

Design the database, workflow, and service boundaries before writing code.

AI-Assisted Operations

Apply AI where it genuinely reduces manual work, not as decoration.

Pricing

Every project is different.

Pricing is determined based on project scope, implementation effort, deliverables, and ongoing support requirements.

A short discussion is usually enough to define scope and provide an appropriate quotation.

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Erwin Bretaña · COS