Ginqel FieldFlowPersonal project in development
Qualify requests and explain dispatch decisions
A field-service project combining AI qualification, business constraints and human validation.
Personal project built for experimentation and skills development.
Visit website — Ginqel FieldFlow
Business problem
Assigning an intervention requires balancing urgency, skills, distance and technician workload, often with incomplete information.
My role
Personal project in development, built to practise and showcase my skills in software architecture, automation and artificial intelligence, focused on request qualification and an explainable dispatch engine.
How it works
AI structures the request and suggests a qualification. Multi-criteria scoring compares eligible candidates against business constraints before human validation.
An architecture decision
AI qualification is separated from scoring rules. This makes assignment suggestions explainable while retaining deterministic constraints for business decisions.
Presented features
Request qualification · Multi-criteria scoring · Dispatch suggestions · Human validation
Security & human validation
The declared stack includes OAuth2/OIDC. Qualification and dispatch suggestions undergo human validation; uncertain qualifications need review.
Limitations and project status
The project is in development. Scores illustrated in the portfolio are examples, not production performance measurements. Uncertain qualifications need operator review.
Ginqel FieldFlow
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