# Portfolio case-study template

## Title

MobilityOps — connected operations for vehicle rental and service teams

## One-sentence summary

A working synthetic-data PoC that unifies vehicle and booking operations, automates vehicle returns, surfaces data-quality problems and exposes grounded internal knowledge through reusable RAG and MCP platforms.

## Problem

Operational information was modelled as fragmented across booking, vehicle and procedure sources, causing manual checks, inconsistent states and slow access to instructions.

## Approach

- MobilityOps owns canonical operational data and business rules.
- A transactional return workflow persists inspections, derives status and queues post-commit orchestration.
- Explainable rules detect duplicates, mileage regressions, overlaps, missing fields and status conflicts.
- RAGcore provides source-grounded procedure answers.
- ITWorx MCP Hub exposes narrowly scoped read-only AI tools.
- n8n orchestrates secondary processing without becoming the business-rule engine.

## Demonstrable results

Use only facts actually measured in the final build, such as:

- 50 deterministic synthetic vehicles and 245 bookings;
- five automated data-quality rule types;
- one end-to-end return workflow;
- ten versioned source procedures;
- four read-only MCP tools;
- tested degraded modes for RAGcore and n8n.

Do not claim real customer adoption, production use or percentage time savings.

## Stack

React, TypeScript, FastAPI, PostgreSQL, n8n, RAGcore, ITWorx MCP Hub, Docker Compose and Playwright.

## Demo disclosure

All data and the represented company are fictitious. The software behaviour, integration contracts, audit trail and validation are implemented as a real proof of concept.