A&O Supermarket Locations Dataset – Italy

A&O Supermarket Locations Dataset – ItalyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI A&O is a historic Italian supermarket brand operating primarily as a proximity store network under the Selex Group. It focuses on neighborhood service, providing fresh food and daily essentials to local communities. There are 496 A&O Supermarkets as of 28 May 2026 in Italy. This dataset is compiled and

A&O is a historic Italian supermarket brand operating primarily as a proximity store network under the Selex Group. It focuses on neighborhood service, providing fresh food and daily essentials to local communities.

There are 496 A&O Supermarkets as of 28 May 2026 in Italy. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all A&O locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

Dataset Methodology:

This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.

It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Data Quality Scorecard

Data Preview: Sample geospatial records from the A&O dataset in Italy

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of A&O locations in Italy is found in Veneto (144 sites, equivalent to 2.98 A&O supermarkets per 100,000 residents). This is followed by Puglia (89 sites; 2.3 per 100,000) and Emilia-Romagna (60 sites; 1.35 per 100,000). From a market-penetration perspective, Valle D'Aosta has the highest brand density at 12.5 locations per 100,000 people (population: 120,000), making it the most saturated region for A&O in Italy. By contrast, Sicilia records only 0.02 locations per 100,000 residents (population: 4,830,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for Italy

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Italy: Map these A&O locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Italy: Overlay demographic indicators to deeply understand the population structures and household types surrounding these A&O locations.
• Explore demographics data insights for Italy: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Italy (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Explore a rich library of Italy-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Italy

Need the data in another format?

We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at [email protected].

Who uses this data?

• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this A&O dataset to identify underserved regions in Italy for potential market expansion."
• "Identify regions in Italy where A&O has a disproportionately strong or weak presence relative to population density."
• "Assess the accessibility of A&O locations in Italy based on proximity to population centers and public infrastructure."

Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.