Case Study: HouseEazy improves property price accuracy and lead qualification with Appinventiv's AI-powered valuation platform

HouseEazy streamlines property pricing and lead qualification with Appinventiv

HouseEazy, a PropTech platform, faced challenges in accurately pricing residential properties due to market volatility and the influence of local factors like project reputation. This led to friction with sellers and inefficient lead qualification for their sales teams. To address this, they partnered with vendor Appinventiv for AI development and ML development services to build a smarter valuation system.

Appinventiv implemented a multi-model AI solution that combined Random Forest Regression and ARIMA time-series analysis to predict property prices with confidence scores. The system, deployed via Flask, provided real-time estimates, flagged unrealistic seller expectations for review, and learned from sales team adjustments. This solution delivered by Appinventiv brought consistency to pricing, improved lead quality by filtering unrealistic listings early, and reduced negotiation friction for HouseEazy.

HouseEazy