Revolutionizing real estate prospecting with Artificial Intelligence
Context
The WIIM IA application was designed to meet the challenges of the real estate market, in particular the difficulty of finding properties suited to investors' precise criteria. The main objective was to create an automated, intelligent platform capable of scrapping all real estate listings, filtering them according to user preferences and proposing the best opportunities via a subscription model.
Artificial intelligence plays a key role in recommending properties and optimizing the matching between buyers and offers.

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Solution
Artificial intelligence has been integrated into the development of WIIM IA at several levels:
- Matching algorithms: Development of a recommendation system based on machine learning to analyze user preferences and suggest relevant goods.
- Real estate data analysis: Use of NLP (Natural Language Processing) to automatically extract and categorize information from real estate ads.
- Automated Scoring: Implementation of an intelligent rating system for investment opportunities based on multiple criteria (profitability, location, potential for added value).
- Dynamic personalization: Continuous adaptation of recommendations thanks to a learning system that improves with user interaction.
These AI functionalities have automated the search and matching process, significantly reducing the time needed to identify the best investment opportunities.
Key project benefits
Customer feedback highlights the rapid adoption of the solution, the usefulness of the dashboard and its ease of use. KPIs tracked include time saved, opportunity conversion rate, user satisfaction and estimated ROI, with indirect gains such as improved conversion and enhanced user experience.
The WIIM IA project illustrates Alegria.group's ability to support its customers in digitizing andautomating complex processes using AI. The mobile application delivered transforms the real estate investment experience, while delivering measurable gains in efficiency and customer satisfaction. This customer case is a benchmark for any company wishing to innovate in the real estate sector or in personalized recommendation via AI.
See you on June 25!

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