Site selection GIS models lack high-resolution foot traffic telemetry, cellular mobility traces, and true drive-time network catchments.
Real estate GIS & location intelligence
Make Real Estate Decisions With Location Evidence
Commercial real estate GIS and location intelligence for site selection, retail catchment analysis, parcel zoning due diligence, market feasibility, and portfolio strategy across GCC and international metros.
// The buying trigger
You probably need this when…
Teams cannot compare access, demand, competition, planning constraints, hazards, and infrastructure on a consistent geographic basis.
Portfolio dashboards report financial performance without revealing location-driven concentration, coverage gaps, or market exposure.
Commercial real estate investment committees lack automated spatial due diligence to evaluate parcel zoning, utility proximity, and competitive cannibalization.
// Concrete scope
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
Property, parcel, market, demographic, mobility, planning, infrastructure, and hazard data assessment
Site-screening methodology with weighted criteria, exclusions, assumptions, and sensitivity tests
Catchment, accessibility, comparable-market, supply-demand, competition, or development-potential analysis
Interactive opportunity map, property intelligence portal, spatial BI dashboard, automated report, or scoring API
Shortlist evidence packs, data lineage, confidence flags, update workflow, documentation, and training
// Delivery process
From evidence to operational handover
- 01
Define the property decision
Set the asset class, market, financial or operational objective, hard exclusions, and approval criteria.
- 02
Build the location evidence
Reconcile sites and parcels with demand, access, competition, planning, infrastructure, and risk data.
- 03
Compare and challenge scenarios
Score candidates, test weights and assumptions, and expose trade-offs instead of hiding them in one rank.
- 04
Operationalize the workflow
Deliver repeatable screening, due-diligence, portfolio, or market-monitoring tools with clear ownership.
// Proof before promises
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓Candidate coverage, parcel and address match rates, source freshness, and data-confidence evidence
- ✓Shortlist stability under alternative weights, catchments, growth assumptions, and exclusion rules
- ✓Back-testing against known high- and low-performing assets or independently reviewed market decisions
- ✓Time saved per screening or due-diligence cycle and adoption by investment, development, research, and executive users
// Buyer questions
Frequently asked questions
What real estate decisions can GIS support?+
Common uses include land and property acquisition, retail and branch site selection, residential or commercial feasibility, development due diligence, portfolio concentration, tenant or customer catchments, market expansion, and asset-risk monitoring.
How does GIS improve commercial real estate site selection and retail catchment analysis?+
By synthesizing pedestrian foot-traffic telemetry, vehicular road networks, demographic income profiles, and competitor proximity into multi-criteria spatial gravity models (Huff models), site selection GIS replaces guesswork with empirical revenue projections and risk-adjusted catchment boundaries across candidate locations in Riyadh, Dubai, Doha, and global markets.
Can you create a property or site scoring model?+
Yes. We make criteria, weights, exclusions, confidence, and sensitivity visible so the score supports expert review rather than replacing investment judgment.
Can you integrate parcel, zoning, demographic, mobility, and market data?+
Yes, where authoritative or licensed sources are available. We document usage rights, geographic resolution, update frequency, lineage, and gaps before operational use.
What demographic and mobility datasets can be integrated for site selection?+
We integrate licensed foot traffic telemetry, cellular mobility traces, census demographics, daytime vs nighttime population distributions, purchasing power indices, and competitor locations into unified scoring models.
How do you evaluate cannibalization risk between existing and proposed branch locations?+
We use gravity models (Huff models) and network-based drive-time catchments to simulate customer trade-off behavior and forecast revenue cannibalization before acquiring new property leases.
Can investment committees interact with spatial due-diligence models in real time?+
Yes. We build scenario-modeling applications where investment directors adjust weighting criteria (e.g. proximity to metro stations, population density, zoning constraints) to instantly view updated parcel rankings.
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Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
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