
Spatialzr
Invest in the most profitable places.

Description
Spatialzr is a platform designed for commercial real estate professionals seeking to make data-driven investment decisions across Europe. It provides real-time market analysis covering various asset types, including office, retail, logistics, and alternatives. The tool utilizes geospatial data and proprietary algorithms to assist with site selection, portfolio analysis, market studies, and strategic hold, buy, or sell decisions.
Serving investors, users, retailers, brokers, appraisers, and developers, Spatialzr offers a desktop interface for visualizing locations and accessing qualified data. It integrates market trends, environmental and sobriety (ESG) scores, and building information to support comprehensive location intelligence. The platform aims to streamline the real estate investment process by identifying opportunities and providing insights based on specific strategies and location analysis.
Key Features
- Real-Time Market Analysis: Access up-to-date data for Office, Retail, Logistics, and alternative assets.
- Site Selection Algorithms: Utilize algorithms (like LISA) to find optimal locations based on strategy.
- Geospatial Data Layers: Visualize thematic layers including public transport, access, amenities, and markets.
- Market Data Insights: Stay informed with trends, OMRV, Value, Caprate, stock, and vacancy data.
- Location ESG Analysis: Evaluate environmental and sobriety scores for locations.
- Portfolio Analysis: Analyze and optimize real estate portfolios based on investment strategy.
- Extensive European Coverage: Analyze 1,529+ areas and 200M+ buildings across Europe.
- Custom Modeling & Data Integration: Add proprietary data and build custom models (Advanced/Custom plans).
- Building Information: Access market stock, active listings, and building details (Pro+ plans).
- User/Investor Profiling: Identify likely investors or users for specific sites (Pro+ plans).
Use Cases
- Identifying profitable commercial real estate investment locations.
- Performing due diligence through market and location analysis.
- Selecting optimal sites for retail, office, or logistics operations.
- Analyzing and optimizing real estate investment portfolios.
- Making data-driven hold, buy, or sell decisions.
- Incorporating ESG factors into location assessments.
- Supporting real estate research teams with location data.
- Screening property investment opportunities efficiently.
- Generating custom market and asset analysis reports.
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