1.7 KiB
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.