Logistics Case Study

Cargus Optimizes Out-of-Home Network and Enhances Delivery Planning with Quarticle

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Highlights
Optimized Out-of-Home network footprint 
Locker/PUDO visualization by ownership
Data-driven expansion decisions

The Company

Cargus is Romania's first courier company with over 30 years of experience (2,600+ employees, 2,000+ OOH points). The company offers comprehensive courier services, including home delivery and Out-of-Home pickup through its national SHIP&GO network. Cargus operates five sorting centers, 36 warehouses, and a cross-border hub in Poland.

The Challenges

Cargus needed to optimize its OOH network by determining the ideal footprint of locker and pick-up/drop-off points, balancing customer convenience and cost efficiency.

Key challenges included:

  • Differentiating between locker points and PUDO locations
  • Dynamically adjusting distance and suitability parameters for urban, suburban, and rural areas
  • Mapping point ownership (company-owned, partners, or individuals)
  • Identifying network gaps or overlaps using parcel and population density
  • Processing millions of delivery addresses for accurate decision-making

The Quarticle Solution

Quarticle successfully integrated the Graph location intelligence platform with Cargus systems, leveraging advanced geospatial algorithms and a robust data backend.

Key achievements:

Categorized network intelligence: Implemented differentiated data layers for automated lockers and service points, segmented by ownership.

Developed interactive analytics: Built visualization tools to track active versus inactive points and provide actionable insights for network optimization.

Optimized expansion strategy: Generated suitability heatmaps for new OOH (Out-of-Home) placements, utilizing high-precision parcel and population density data.

Executed large-scale processing: Processed 3.2 million delivery addresses to conduct a comprehensive network assessment.

The Results

Quarticle provided Cargus with a clear, interactive view of its entire OOH network. The client can now optimize existing locations, identify under- or over-served areas, and make informed decisions for network expansion.

The solution enhanced operational efficiency and planning accuracy, enabling smarter, data-driven growth of the SHIP&GO network. The success of this project led to a long-term partnership extension, with additional optimization projects already underway.

Solutions & Services

Out-of-Home Network Optimization 
Location Intelligence UI 
Delivery Density Analysis 
Population-Based Suitability Mapping 
Parcel Network Planning

Technologies & Frameworks

Cloud-Based Location Intelligence Platform (Graph) 
Geospatial Data Backend 
Rasterization & Buffering Algorithms 
Interactive Visualization Tools 
Geocoding & Data Processing

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