Immobilier

RendementScout

AI Sourcing Agent

RendementScout project — AI Sourcing Agent
Agent IAScrapingScoringAutomatisation
Chapter 1

Find the right listings without spending your weekends on it.

The client needed to industrialise the search for real-estate opportunities in a specific area, without spending hours combing through redundant or irrelevant listings.

Goal: quickly identify properties meeting strict profitability criteria, and structure the monitoring to compare, prioritise, track over time.

The context

An investor, a defined area, hours wasted.

Chapter 2

An agent that scans twice a day.

The AI agent automatically collects listings in the defined area, applies a yield rule and qualification criteria, then assigns a score to each offer before saving it to the database.

Built-in deduplication — the database stays usable over time.

The agent

Twice-daily scraping
Automated collection of the area's listings.
Profitability scoring
Yield rule + qualification criteria.
Usable database
Deduplication, comparison, prioritisation.
Chapter 3

About 2 hours saved per monitoring session.

The client opens the database in the morning, sees the prioritised new entries, spots duplicates at a glance. The sorting is done.

The time saved is reinvested where it truly matters — the viewing, the negotiation, the decision.

The result

Gain per session
~2 h
Frequency
Twice daily
Status
In production

Along the same lines

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