Location Intelligence · Site Selection · Expansion Analytics

Stop guessing
where to expand next.

We help retail brands, franchise operators, and enterprise organizations make data-driven expansion decisions using spatial intelligence, demographic modeling, and competitor mapping.

Book a Strategy Call Get Free Location Review →
200+ Sites Analyzed
12+ Countries
8 Industries Served
CCK Group · Warsaw Site Selection
LAYERS FILTER EXPORT
Active Layers
Territory Zones
Drive-Time
Demand Heat
Competitors
Site Scores
Demographics
Score Filter
Min Score: 70
Results
Analyzed847
Shortlisted23
Top Tier (A+)6
Competitors31
OGRÓD SASKI PARK PRASKI WOLA ŚRÓDMIEŚCIE PRAGA MOKOTÓW al. Jerozolimskie al. Jana Pawła II Zone A Zone B Zone C 10 min 20 min C C C C C C 82 79 74 97 A+ · Top Site + 500 m 52.23°N 21.01°E
Demand Score
97 /100
▲ Top 3% of all sites
Population Reach
142K
15-min drive time
Competitor Gap
1.8 km
Nearest competitor
20-min Coverage
87%
Population reached
Warsaw, Poland · Śródmieście District · Site Suitability Analysis v2.4
Zoom: 14 · 847 sites
Live
Trusted by
Mr. White LAUNDROMAT
Germany
NORD LOCKER
Poland
MEDIVANCE Health Group
USA
Proxima RETAIL
France
VOLTEX EV CHARGE
Netherlands
TERRITORIAL Franchise Co.
UK
SwiftRoute LOGISTICS
Germany
Landmark REAL ESTATE
Spain
What We Do

Spatial intelligence
for every expansion decision.

From single-site analysis to full network optimization, we provide the analytical infrastructure that turns location decisions into competitive advantage.

Site Selection Analysis
Multi-factor scoring models that evaluate hundreds of candidate locations against your specific success criteria—footfall, demographics, competition, and infrastructure.
Retail Expansion Analytics
Market potential modeling and white-space identification for retail brands looking to grow their footprint with confidence, backed by real spatial data.
Territory Optimization
Mathematically-optimal territory assignment that minimizes cannibalization, maximizes market coverage, and aligns sales territories with underlying demand.
Competitor Intelligence
Real-time competitor mapping, gap analysis, and market saturation modeling to identify where you can capture share and where to avoid over-served markets.
Demand Mapping
Predictive demand modeling that surfaces underserved markets, high-potential neighborhoods, and spatial correlations between location attributes and business performance.
Network Planning
Strategic multi-site network modeling for operators planning 5–500 locations, optimizing for coverage, logistics efficiency, and long-term portfolio performance.
Case Studies

Real decisions.
Measurable outcomes.

Each engagement delivers a clear investment thesis for every location—so clients enter new markets with precision, not gut feeling.

View all case studies →
Laundromat
🇩🇪 Germany
Laundromat Chain Expansion Across 5 German Cities
Analyzed 200+ candidate sites across Berlin, Hamburg, Munich, Frankfurt, and Cologne using footfall data, demographic layering, and proximity to high-density residential zones.
5Cities Analyzed
47Sites Scored
12Recommended
Parcel Logistics
🇵🇱 Poland
Parcel Locker Network Expansion in Poland
Identified optimal parcel locker placement across Poland's top 20 cities using last-mile delivery density, foot traffic analysis, and competitor gap mapping against existing networks.
20Cities
380+Locations Assessed
94Sites Delivered
Healthcare
🇺🇸 United States
Healthcare Territory Optimization for Multi-State Network
Redesigned sales territories for a multi-state healthcare organization using population-weighted Voronoi modeling, drive-time analysis, and physician density scoring.
14States
230Territories
31%Coverage Gain
Retail
🌍 Multi-Market
Retail Market Intelligence for Multi-Brand Operator
Delivered white-space analysis and market entry prioritization across 8 European markets for a multi-brand retail operator evaluating 150+ candidate sites simultaneously.
8Markets
150+Sites
3Brands
How We Work

From raw data to confident decision in weeks, not quarters.

1
Data Collection
Define & Ingest
We gather your business parameters alongside third-party spatial datasets—footfall, demographics, competitor locations, infrastructure.
2
Spatial Modeling
Build the Model
Custom spatial models are built: drive-time polygons, demand surfaces, territory boundaries, and competitor proximity scores are computed at scale.
3
Opportunity Scoring
Rank Every Location
Every candidate site receives a composite opportunity score, ranked and segmented into tiers with full attribution of what drives each score.
4
Recommendations
Deliver & Decide
Interactive reports and executive presentations translate every model output into clear, actionable site recommendations with risk and upside analysis.
Free Location Review

We'll tell you if your target market is worth entering.

Send us your expansion goal and target area. Our analysts will run a preliminary location review and tell you what the data shows—at no cost.

  • Preliminary spatial analysis of your target market
  • Competitor density and gap identification
  • Delivered within 3 business days
Client References

What decision-makers say after working with us.

"

CCK Group showed us three neighborhoods in Berlin we would have completely overlooked. Those three sites are now our highest-performing locations. The analysis paid for itself inside the first quarter of operations.

M
Markus Heidemann
CEO, Mr. White GmbH · Berlin, Germany
Mr. White LAUNDROMAT
3
Top-performing sites
identified by CCK
Q1
Payback period
★★★★★

"We evaluated 380 locations across Poland in under a month. That would have taken our internal team two years. The gap analysis identified 40+ competitor-free zones we had no idea existed."

K
Katarzyna Wójcik
Head of Expansion, NordLocker · Poland
★★★★★

"Our territory structure was built on ZIP codes from 2009. CCK rebuilt 230 territories in 14 states using drive-time modeling. Coverage went up 31%. Rep attrition dropped immediately."

D
Dr. Daniel Osei
VP Sales Operations, Medivance Health Group · US
★★★★★

"We were about to sign leases on 6 sites in Warsaw. CCK's white-space analysis showed that only 2 of those were genuinely underserved. We avoided four expensive mistakes in a single engagement."

A
Anna Kowalczyk
Director of Strategy, Proxima Retail · Warsaw
★★★★★

"For EV charging, location is everything. CCK mapped traffic flow, competitor charger gaps, and dwelling-time data across 8 Dutch cities. We deployed 40 chargers and every single one is above utilization targets."

R
Ruben van der Berg
COO, Voltex EV Charge · Amsterdam
★★★★★

"Before CCK, territory disputes between our franchisees were constant. They defined every zone with spatial precision—now every franchisee knows exactly where they operate and nobody overlaps."

J
James Whitfield
Franchise Director, Territorial Franchise Co. · London
★★★★★

"CCK's network planning work cut our route planning costs by identifying the 12 depot sites that cover 91% of our delivery zones. That's the kind of decision support that makes a real operational difference."

T
Thomas Bauer
Head of Logistics, SwiftRoute · Frankfurt
Location Intelligence Insights

From the CCK Group research desk.

View all insights →
Best Site ★ Site Selection · 5 Key Metrics
Site Selection
5 Spatial Metrics Every Retailer Should Analyze Before Opening a New Location
Most expansion decisions rely on gut instinct. Here's the data layer that separates high-performing sites from expensive mistakes.
OVERLAP Territory AI · Franchise Zones
Territory Optimization
How Franchise Networks Are Using Spatial AI to Eliminate Territory Overlap
The new generation of territory design uses drive-time surfaces instead of ZIP codes—and the performance gains are substantial.
White Space! Demand · Underserved Markets
Demand Analysis
The Underserved Market Playbook: Finding High-Demand Zones Before Your Competitors Do
Identifying white space isn't about finding empty areas—it's about finding areas with unmet demand. The distinction changes everything.