MicrosoftProductionEvidence: High75/100

Properstar improves real estate search accuracy with AI-powered property filters

Properstar, a Swiss-based international real estate platform, leveraged Microsoft Azure AI technologies to create dynamic, nuanced property search and filtering tools. Recognizing the challenge of incomplete, unstructured data from agencies and the limitations of conventional search filters, they partnered with Microsoft to rapidly innovate a more advanced platform. Using Azure OpenAI, they extract and structure critical property details from millions of listings in multiple languages, expanding the searchable dataset by about 40 percent per property. Azure AI Search enables mandatory vs. optional feature settings for highly flexible, user-driven searches, ensuring buyers and renters do not miss relevant matches. The result is a platform achieving 98% property match accuracy. Azure Synapse Analytics, Azure Databricks, and Power BI power market insights, perform big data-driven price analyses, and improve decision-making for users seeking the best value. Data collection, cleaning, and market reports are heavily automated, reducing manual tasks and increasing innovation velocity. Security and compliance are managed with Microsoft Defender and standardized Azure protocols as Properstar scales globally, currently present in 65 countries. Future plans include AI-driven property concierge tools and voice/translation-enabled assistants to further enhance user experience. Properstar’s success demonstrates how data science and AI can transform online real estate discovery.

Organization
Properstar
Industry
Real Estate
Location
Switzerland

Reported outcomes

+98%

accuracyQuality & accuracy

40%quantified impact

Strategic outcomes

New product / capabilityBuilt flexible AI property search filtersBetter decisions & insightImproved market insights and price analysisMarket & geographic expansionScaled platform across 65 countriesSpeed & agilityAutomated data processing and reporting

Catalog median for quality & accuracy deployments: +41% across 63 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Accuracy: 98% increase

microsoft.comCustomer storyInferred claimHigh evidence strength

Increased property match accuracy to 98%.

Normalized claim

Quantified impact: 40%

microsoft.comCustomer storyInferred claimHigh evidence strength

Expanded the information set by 40% per property for better search results.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Properstar
Provider
Microsoft
Maturity
Production
Linked source
microsoft.com

Deployed Azure AI Search to enable granular property filtering (mandatory/optional features)

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1AI-powered property description extraction for structured search
  • 2Dynamic, granular property filtering
  • 3Big data-driven real estate market insights
  • Unstructured and incomplete property data from agency sources.
  • Inefficient, rigid property filter systems that do not capture nuanced buyer needs.
  • Unmet demand for accurate, flexible, and personalized real estate recommendations.
  • Utilized Azure OpenAI to extract and structure key property information from diverse listings.
  • Deployed Azure AI Search to enable granular property filtering (mandatory/optional features).
  • Implemented Azure Synapse Analytics, Azure Databricks, and Power BI for advanced market analytics and reporting.
  • Automated data pipeline with Azure DevOps and robust security with Microsoft Defender and Azure.
  • Increased property match accuracy to 98%.
  • Expanded the information set by 40% per property for better search results.
  • Enabled global platform scalability, operating in 65 countries with high security.
  • Reduced manual workload and sped up innovation cycles with automation.
Architecture

Unstructured property data from agencies is ingested. Azure OpenAI extracts features, which are indexed by Azure AI Search. Users apply filters (mandatory/optional), retrieving best matches. Analytics (Azure Synapse, Databricks, Power BI) provide market insights. Azure DevOps manages deployment; Microsoft Defender secures the cloud. Planned AI concierge adds voice/translation using Azure AI.

Sources & evidence2
Evidence: High75/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
  • Multiple corroborating sources available
Type: Customer StoryPublisher: microsoft.comEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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