OpenRouteService

Identify High-Potential Store Locations Faster

Estimate catchment areas and population reach for candidate store sites using drive-time polygons.

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Painpoint

Retail chains evaluating potential store locations need to understand population density and catchment overlap within realistic drive-time thresholds, but manual site analysis is slow and inconsistent.

Autohive solution

Autohive geocodes candidate addresses and maps drive-time polygons to estimate catchment areas, informing site selection and cannibalization analysis.

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The Challenge

Choosing where to open a new store is one of the most consequential decisions a retail chain makes, yet catchment analysis is often done with rough radius estimates instead of real travel data.

  • Candidate site addresses need to be standardized before they can be analyzed
  • Simple radius-based catchment estimates overstate or understate real customer reach
  • Comparing multiple candidate sites for overlap and cannibalization risk is difficult without consistent drive-time data
  • Slow analysis delays expansion decisions and increases the risk of choosing an underperforming site

The Autohive Solution

Autohive agents equipped with OpenRouteService give retail teams a faster, more accurate way to evaluate candidate store locations.

Key Feature 1: Candidate Address Geocoding

Agents convert candidate site addresses into precise coordinates, handling regional address variations so every site is analyzed consistently.

Key Feature 2: Drive-Time Catchment Mapping

Agents generate isochrone polygons around each candidate site, revealing the real drive-time catchment area rather than a simple radius.

Key Feature 3: Confidence-Based Quality Control

Any geocoded address below an eighty percent confidence threshold is flagged for review, ensuring site selection decisions rest on reliable location data.

Benefits

  • Accurate catchment estimates - Understand true customer reach based on real drive times
  • Cannibalization insight - Compare candidate sites to existing locations to spot overlapping catchments
  • Faster site selection - Evaluate multiple candidates quickly instead of manually mapping each one
  • GIS-ready outputs - Export clean GeoJSON data directly into your site selection and BI tools

How It Works

  1. Geocode candidate sites - The agent converts addresses into precise coordinates
  2. Generate catchment isochrones - The agent maps drive-time polygons around each candidate location
  3. Compare and decide - Catchment data informs population density analysis, cannibalization checks, and final site selection

Getting Started

  1. Sign up at app.autohive.com
  2. Connect the OpenRouteService integration from the marketplace
  3. Configure your automation to geocode candidate sites and generate catchment isochrones
  4. Deploy your agents to accelerate your next expansion analysis
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