Automated Dossier Scoring & Ranking

The Problem

Agencies receive multiple applications for every property. Comparing dossiers is time-consuming, subjective, and legally risky if done inconsistently.

• Agents spend 20 to 40 minutes evaluating each dossier

• Ranking criteria are inconsistent across team members

• Strong candidates are lost because manual processing is too slow

• Weak candidates are occasionally advanced due to subjective bias

The Solution

Luuzon scores every dossier automatically using a transparent, rule-based AI model calibrated to French rental standards.

The scoring engine:

• Calculates net income-to-rent ratio

• Assesses employment stability (CDI vs CDD vs freelance vs student)

• Evaluates guarantor strength independently

• Weights professional profile and financial consistency

• Produces a ranked shortlist of top candidates per property

How It Works

1. Application Received Tenant submits dossier via Luuzon or agency upload.

2. Data Extraction Key financial and professional data is extracted from documents automatically.

3. Scoring Model Each candidate is scored across 6 dimensions: income ratio, employment type, financial stability, guarantor quality, fraud risk, and profile completeness.

4. Ranked Output Agents see a ranked shortlist with scores, flags, and a one-line summary per candidate.

5. Decision Support The agent can approve, reject, or request additional documents in one click.

Key Capabilities

• Automated income extraction and ratio calculation

• Employment stability weighting

• Guarantor scoring module

• Multi-candidate ranking per property

• Configurable scoring rules per agency

• One-click accept / reject / request more docs

Example Outcome

Before: Agent spends 3 hours comparing 8 dossiers, calls two landlords to discuss, delays decision by 48 hours.

After: Luuzon delivers a ranked list of applications with scores and flags in under a minute.

Result: 90% reduction in dossier review time. Faster tenant placement. Consistent, defensible decisions.

Best For

• Agencies managing high-demand properties with 5+ applicants per listing

• Teams with multiple agents applying inconsistent criteria

• Agencies scaling volume without scaling headcount