Case Study
Valora PropTech
A proptech intelligence platform unifying 45k listing and market data points across 12 cities for faster valuation and comparable analysis.
Heatmap AnalyticsValuation ModelComps EngineScenario PlanningCRM Integrations
Project Details
Investment teams were running comparable analysis through manual spreadsheets and fragmented data sources. This slowed portfolio decisions and introduced inconsistency in valuation output.
Valora PropTech unified listing feeds, CRM, and cadastral/neighborhood statistics in a single data model. The valuation model, comps engine, and scenario layer were delivered as one integrated analytical surface.
+Kodcuk Approach
Architecture decisions were shaped around scale, reliability, and operational clarity.
Key Delivery Layers
+A geo-segmentation layer optimized heatmap generation at neighborhood and micro-zone granularity.
+The comps engine scored candidates using proximity, floor area similarity, room mix, and historical price behavior.
+Scenario simulations recalculated return projections dynamically as rent and sale assumptions changed.
Measured Outcomes
Valuation lead time: 2 days to 2 hours
Comparable discovery speed: ~5x improvement
