Last updated: April 2026
Key Takeaways
- The framework evaluates each property against 42 site variables across four input categories
- It scores against 65 use-case profiles organised into 14 logistics categories
- The output is a ranked list identifying the highest-value tenant types for each specific building
- The spread in achievable rent between best-fit and worst-fit tenant can exceed 30% — invisible to comparable analysis
What the Framework Does
The Logivalue Site Scoring Framework answers the question traditional valuation cannot: given a specific logistics building, which tenant types would extract the most operational value from it — and what would they pay as a result?
It does this by evaluating the building's physical and locational characteristics against the specific requirements of 65 distinct logistics use-case profiles. The output is a ranked fit score for each profile — identifying where the highest rent potential lies, and which use cases are a poor match regardless of what headline comparables suggest.
"A building doesn't have one value. It has 65 values — one for each type of tenant who might occupy it. Our framework makes those values explicit, so investors can target the tenants that will pay the most and stay the longest."
— Raimund Paetzmann, Occupier-Side Strategist, Logivalue
42 Site Variables Across Four Categories
Every property is evaluated against 42 site variables spanning four input categories: location, building specification, operational suitability, and market dynamics. Together these capture the full picture of what a logistics occupier considers when making a site decision — from physical measurements and infrastructure proximity to labour market conditions and planning constraints.
The variables are calibrated to reflect how occupiers actually evaluate buildings, not how brokers describe them. A specification detail that is irrelevant to one tenant type can be decisive for another — which is precisely why a single set of comparables cannot capture what a building is worth.
65 Profiles Across 14 Logistics Categories
The 65 use-case profiles span the full spectrum of European logistics real estate occupiers, organised into 14 categories:
- Production & Manufacturing
- Inbound & Consolidation
- Primary Distribution
- Secondary Distribution
- Cross-Docking & Transit
- E-Commerce & Fulfilment
- Parcel & CEP
- Freight & Logistics Services
- Temperature-Controlled
- Retail-Specific
- Specialised
- Outdoor & Yard
- Last Mile & Urban
- Reverse & Circular
Each profile encodes the operational priorities of that occupier type — which site characteristics matter most, and how much. A cross-dock terminal and a pharmaceutical cold chain facility are both logistics real estate. Their site requirements have almost nothing in common. The framework reflects this by evaluating each profile against the variables that actually drive that occupier's location decisions.
From 65 Profiles to 95 Property Types
The logistics real estate market uses more than 65 names for distinct facility types. Logivalue maps all 95 recognised property types to the 65 scoring profiles — ensuring any industry-standard property type name can be evaluated consistently. For a full overview, see our logistics property types guide.
The Output: Ranked Fit, Actionable Decisions
For each property, the framework produces a ranked list of all 65 profiles — identifying which tenant types are the strongest fit and which represent a mismatch. The spread in achievable rent between best-fit and worst-fit tenant for a single building routinely exceeds 30%. That gap is what comparable analysis misses entirely.
"The ranked output changes the investor's question. Instead of 'what is this building worth?' you can ask 'which tenant category should I target, and what will they pay?' Those are fundamentally different — and far more useful — questions."
— Carl-Friedrich zu Knyphausen, Managing Director, Logivalue
The framework is the analytical foundation behind Logivalue's supply chain cost simulation service. The ranked output identifies which tenant categories to target; the simulation then models what each of those tenant types would actually pay — producing the complete investment case.
- 42 site variables across 4 input categories
- 65 use-case profiles representing distinct logistics occupier types
- 14 logistics categories covering the full market spectrum
- 95 recognised property types mapped within the framework
- 30%+ typical rent spread between best-fit and worst-fit tenant
See the framework applied to your assets
Book a 20-minute briefing. We will run the site scoring framework against your specific properties and show you which tenant categories offer the strongest rent potential.
Request a briefing →