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.

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0+ Sites Analyzed

0+ Countries

0 Industries Served

CCK GROUP · SITE SELECTION

Chicago · North Side Expansion

847 sites scanned · Top 6 shortlisted · Apr 2026

Site Selection · Live

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Site score

LowHigh

Recommended site

Competitor

Why this site wins

✓Highest foot-traffic density
✓1.8 km from nearest competitor
✓$86K avg household income
✓Growing population trend

Pop. reach

0.0km

Competitor gap

$0K

Avg HH income

20-min coverage

Why this site wins

✓Highest foot-traffic density
✓1.8 km from nearest competitor
✓$86K avg household income
✓Growing population trend

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.

Data Collection

Define & Ingest

We gather your business parameters alongside third-party spatial datasets—footfall, demographics, competitor locations, infrastructure.

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.

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.

Recommendations

Deliver & Decide

Interactive reports and executive presentations translate every model output into clear, actionable site recommendations with risk and upside analysis.

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.

Markus Heidemann

CEO, Mr. White GmbH · Berlin, Germany

Top-performing sites
identified by CCK

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."

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."

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."

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."

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."

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."

Thomas Bauer

Head of Logistics, SwiftRoute · Frankfurt

Location Intelligence Insights

From the CCK Group research desk.

View all insights →

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.

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.

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.

Stop guessingwhere to expand next.

Spatial intelligencefor every expansion decision.

Real decisions.Measurable outcomes.

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

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

What decision-makers say after working with us.

From the CCK Group research desk.

Stop guessing
where to expand next.

Spatial intelligence
for every expansion decision.

Real decisions.
Measurable outcomes.