{"id":2906,"date":"2026-06-23T10:51:08","date_gmt":"2026-06-23T10:51:08","guid":{"rendered":"https:\/\/artelnics.com\/case_studies\/property-finder-listing-recommendation-system\/"},"modified":"2026-08-21T20:20:20","modified_gmt":"2026-08-21T20:20:20","slug":"property-finder-listing-recommendation-system","status":"publish","type":"case_studies","link":"https:\/\/artelnics.com\/case_studies\/property-finder-listing-recommendation-system\/","title":{"rendered":"Recommending real estate listings to brokers"},"content":{"rendered":"
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A recommendation system transforms listing, lead and portal data into practical guidance for real estate professionals.<\/p>\n

\n Real estate<\/span>
\n Recommendation system<\/span>
\n Broker decision support<\/span>\n <\/div>\n

Challenge<\/h2>\n

Real estate professionals manage many listings, leads and portal signals. They need actionable recommendations rather than raw data spread across tools.<\/p>\n

Data<\/h2>\n

The system used listing attributes, property type, location, offer characteristics, lead behavior and portal performance signals from MyCRM and related data sources.<\/p>\n

Solution<\/h2>\n

Artelnics designed a Listing Recommendation System and analytics workflow to match properties and leads, rank relevant opportunities and enrich smart property reports.<\/p>\n

\n
System<\/strong><\/p>\n

Listing Recommendation System built around MyCRM data.<\/p>\n<\/div>\n

Output<\/strong><\/p>\n

Property rankings, lead matching and business reports.<\/p>\n<\/div>\n<\/div>\n

Results<\/h2>\n

The solution helps brokers focus on the most relevant properties and leads, making commercial decisions faster and more data-driven.<\/p>\n

Illustrations<\/h2>\n
\"Matching
Property and lead matching engine<\/figcaption><\/figure>\n
\"Evolution
Lead requirement evolution<\/figcaption><\/figure>\n<\/article>\n