Research, Data and Analytics for Industrial Real Estate
Link Logistics' Research & Analytics team provides proprietary market intelligence that informs smarter warehouse and industrial property decisions. Our custom-built geospatial analytics platform uses machine learning to evaluate billions of data points, giving us an edge in identifying optimal warehouse locations and delivering insights that create value for our firm, our investors and our customers operating in industrial real estate markets.
Proprietary Data and Warehouse Market Intelligence
Our platform analyzes billions of data points from proprietary and third-party sources to understand industrial real estate markets at both macro and hyperlocal levels. We track warehouse leasing activity, building specifications, transportation infrastructure, labor market conditions, demographic trends and supply-demand dynamics. This comprehensive data integration—powered by machine learning and geospatial analytics—reveals patterns and opportunities that traditional industrial real estate research methods miss. The result: market intelligence that goes beyond surface-level statistics to provide actionable insights on where warehouse demand is heading and why.
Hyperlocal Insights for Industrial Property Decisions
National trends are important, but critical industrial real estate decisions happen at the local level. Proximity to labor, transportation access and competitive positioning all vary significantly within the same metropolitan area. Our analytics capability evaluates individual submarkets, specific corridors and even parcel-level characteristics to identify optimal warehouse locations and investment opportunities. Whether assessing a potential industrial property acquisition, evaluating build-to-suit development sites or helping customers understand logistics market dynamics, our team translates macro-level industry knowledge into hyperlocal recommendations.
Cross-Industry Expertise Driving Innovation
The Link Logistics Research & Analytics team’s background in data science, mathematics, quantitative finance and research challenges conventional industrial real estate analysis. Cross-discipline expertise enables us to apply advanced analytical methods and machine learning techniques that wouldn't emerge from traditional real estate research approaches. Our team continuously refines models and processes to drive better outcomes for warehouse investment, development and leasing decisions. This innovation-focused approach helps Link Logistics and our customers successfully navigate rapidly evolving supply chain markets.
“Link Logistics leverages data and insights differently. Our intent is to be able to drive critical business decisions down to the hyperlocal level, generating value for our firm, our investors and our customers.”
Matthew Rand
Managing Director, Research & AnalyticsMeet the Link Logistics Research & Analytics team
Team
-
Managing Director
-
Victoria Francis
Vice President -
Nina Pikula, PhD
Vice President
Latest Research Reports
VIEW MORECase Study: How Link Logistics Turns Compliance Into Shared Value
December 18, 2025
Case Study: Leveraging Scale to Unlock LED Savings Across Business Parks
November 24, 2025
Case Study: Driving Customer Value Through Energy & Utilities Management
October 7, 2025