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Scenario generator (AI)

IA & Coach Scenarios Stress tests Robustesse Decision

Scenario analysis

Test multiple assumptions and get a “robustness” verdict

Testez rapidement plusieurs hypothèses (loyers, vacance, taux, taxes, travaux) et obtenez un résumé décisionnel, despoints de négociationet unscore de robustesse.

Goal: move from “I have a result” to “I know if the deal holds” under a prudent scenario (+1 %, +2 %, extended vacancy, repairs).

What the AI produces
  • 3–10 comparable scenarios
  • Stress tests (+1 %, +2 %, vacancy)
  • Quantified negotiation points
  • Risques dominants + actions
  • Stress tests & robustness (score)

Tip: start with “Base +1% +2% + vacancy,” then add “major repairs” if the property is at risk.

Basic parameters

Prototype: connect to a POST and your AI backend (LLM + calculations).
Formulaire

Applies assumptions (vacancy, taxes, growth) if available.

Tip: start simple. Then add “taxes,” “insurance,” “heating,” and “management” to improve accuracy.

Generation options

Control over the number of scenarios and stress tests.
Options

Tip: enable “extended vacancy” if you’re renovating, the area is unstable, or turnover is high.

Results

Demo: replace these values with results calculated by your AI backend.
Aperçu (démo)

Robustness score
72/100
Positive at +1 %, fragile at +2 %
Cashflow annuel (base)
+ 3 480$
After expenses & vacancy
Cashflow à +1 %
+ 420$
Safety limit
Cashflow à +2 %
- 2 520$
Négo / optimisation requise

Scénarios générés (exemple)
Scenario Hypothèse clé Cashflow/year Risque Recommended action
Base Vacancy 3 %, rate 5.25 % + 3 480$ Moyen OK si objectif long terme
Stress +1% Rate 6.25 % + 420$ Élevé Negotiate price / optimize expenses
Vacance prolongée Vacancy 8 % for 6 months - 1 980$ Élevé Reserve + leasing strategy
Optimisé +$75 / unit + lower insurance + 6 120$ Moyen Accounting AI (anomalies & optimization)
Negotiation point (example): At this price, cashflow becomes negative at +2 %. Aim for a reduction of about 6–8 %, or offset via rent increases / expense optimization.

Example 1 – “First plex”

Goal: positive cashflow and low risk.
  • Stress tests: +1 %, +2 %, extended vacancy
  • Expected outputs: price threshold, safety margin, simple actions
  • Decision: go/no-go + negotiation points

Example 2 – “Refinancing”

Goal: free up capital while stabilizing cashflow.
  • Scenarios: rate increase, tax increase, repairs, refinancing
  • Expected outputs: timing, safety ratio, reserve strategy
  • Decision: best tradeoff between leverage and stability

Go further

Move from scenario to action: score, comparison, portfolio tracking.