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Carrefour Product Price Intelligence Dataset (Middle East) Case Study by Food Data Scrape

Carrefour Product Price Intelligence Dataset (Middle East) Case Study by Food Data Scrape

Modern retail pricing in the Middle East is dynamic, competitive, and deeply localized. Large retailers adjust prices not just by country, but by city, store cluster, and promotion cycle. For FMCG brands, distributors, and analytics teams, understanding these movements requires accurate, structured, and continuously updated data. This case study outlines how Food Data Scrape developed a Carrefour Product Price Intelligence Dataset for the Middle East, enabling city-level and country-level visibility across multiple markets. The dataset captures daily product prices, discounts, stock status, and promotional signals across Carrefour’s online platforms in key Middle Eastern countries. The result is a reliable pricing intelligence system that helps businesses move from reactive pricing decisions to proactive, data-backed strategies.

Carrefour Product Price Intelligence Middle East

About the Retailer: Carrefour

Carrefour is one of the world’s largest retail chains and a major player across the Middle East. Operated in partnership with regional franchise groups, Carrefour serves millions of customers across hypermarkets, supermarkets, and online channels. In the Middle East, Carrefour operates with highly localized pricing strategies influenced by logistics costs, local competition, regulatory frameworks, and consumer demand. This makes Carrefour a critical benchmark for retail and FMCG price intelligence.

Business Challenge

Key Challenges

Despite Carrefour’s scale, most available market data remains high-level or delayed. Brands and analysts often struggle to answer basic but critical questions:

  • How does Carrefour price the same SKU differently across cities?
  • Which categories see the highest discount depth during promotions?
  • How frequently do prices change in inflation-sensitive periods?
  • How does Carrefour respond to competitor price moves in real time?

Manual monitoring or country-level averages fail to capture these nuances. Food Data Scrape was engaged to build a centralized, structured, and scalable pricing intelligence dataset.

Project Objectives

Key Challenges

The project was designed with clear and measurable objectives:

  • Track Carrefour product prices across major Middle Eastern markets
  • Capture daily and historical price movements
  • Identify promotions, discounts, and bundles
  • Enable category-level and brand-level benchmarking
  • Deliver analytics-ready data for dashboards and forecasting

Geographic Coverage

The dataset covers Carrefour operations across key Middle Eastern countries, including:

United Arab Emirates

  • Dubai
  • Abu Dhabi
  • Sharjah

Saudi Arabia

  • Riyadh
  • Jeddah
  • Dammam

Qatar

  • Doha

Additional Markets (on request)

  • Kuwait
  • Oman
  • Bahrain

Each market is mapped individually to reflect local pricing behavior.

Product Categories Covered

Food Data Scrape tracked thousands of SKUs across high-impact retail categories:

  • Packaged groceries
  • Fresh produce
  • Dairy and frozen foods
  • Beverages
  • Snacks and confectionery
  • Household essentials
  • Personal care and hygiene
  • Carrefour private-label products

Data Points Captured

Each record in the Carrefour Product Price Intelligence Dataset includes:

  • Country
  • City
  • Store or fulfillment zone
  • Product name
  • Brand
  • Category and sub-category
  • Pack size and unit
  • Listed price
  • Discounted price
  • Discount percentage
  • Promotion type
  • Stock availability
  • Date and timestamp
  • Product URL

Sample Data Snapshot

Below is an illustrative sample of how the dataset is structured.

Country City Product Name Brand Pack Size List Price Selling Price Discount Stock
UAE Dubai Sunflower Cooking Oil Carrefour 3 L AED 29.50 AED 24.95 15% In Stock
UAE Abu Dhabi Sunflower Cooking Oil Carrefour 3 L AED 29.50 AED 26.90 9% In Stock
KSA Riyadh Fresh Milk Full Cream Almarai 2 L SAR 12.50 SAR 11.75 6% In Stock
KSA Jeddah Fresh Milk Full Cream Almarai 2 L SAR 12.50 SAR 10.95 12% Limited
Qatar Doha Basmati Rice Premium Daawat 5 kg QAR 54.00 QAR 47.90 11% In Stock

Data Collection Methodology

Key Challenges

Food Data Scrape implemented a multi-stage data intelligence pipeline.

Market and Store Mapping Each Carrefour market and city-level storefront was mapped to ensure accurate localization.

Automated Crawling

  • Daily crawls with adaptive scheduling
  • Handling of dynamic content and pricing widgets
  • High accuracy in promotion detection

Data Normalization

  • Currency standardization
  • Pack size normalization
  • Category harmonization across markets

Validation and QA

  • Price anomaly detection
  • Duplicate SKU resolution
  • Stock status verification

Update Frequency

  • Daily updates for all tracked SKUs
  • High-frequency refresh during major sales events
  • Historical data retention for long-term analysis

Key Insights Generated

City-Level Price Differentiation
Prices for identical SKUs varied by 6%–20% across cities within the same country, particularly during promotion cycles.

Promotion Intensity Analysis
Urban centers consistently showed deeper discounts and earlier promotion launches compared to secondary cities.

Private Label Strategy
Carrefour private-label products maintained a 10%–25% price advantage over national brands across most categories.

Inflation and Cost Pass-Through
Staple categories such as dairy and oils reflected faster price adjustments in high-demand cities.

Business Use Cases

FMCG Brands

  • Monitor retail price compliance
  • Analyze promotion effectiveness
  • Optimize city-level pricing strategies

Retail and Distribution Teams

  • Track competitive price movements
  • Benchmark against private labels
  • Improve margin planning

Market Research and Consulting

  • Build localized CPI indicators
  • Study demand elasticity
  • Support category growth analysis

Data and Analytics Teams

  • Power BI and Tableau dashboards
  • Feed machine learning pricing models
  • Enable predictive demand forecasting

Data Delivery Options

Food Data Scrape supports flexible data delivery:

  • CSV and Excel
  • JSON and REST APIs

Custom schemas and integrations are available.

Compliance and Data Ethics

  • Publicly accessible data only
  • No customer or personal information collected
  • Compliance with platform policies
  • Secure access and delivery mechanisms

Why Food Data Scrape

Food Data Scrape specializes in retail and grocery price intelligence across global markets. Clients choose us for:

  • Proven Middle East retail expertise
  • City-level and SKU-level accuracy
  • Scalable, reliable infrastructure
  • Clean, analytics-ready datasets
  • Dedicated support and customization

Final Outcome

The Carrefour Product Price Intelligence Dataset provides a clear, granular, and actionable view of pricing behavior across Middle Eastern markets. Instead of relying on assumptions or averages, stakeholders gain real visibility into how Carrefour prices products city by city and category by category. This case study demonstrates how Food Data Scrape turns fragmented online pricing into a structured intelligence asset that supports smarter pricing, better promotions, and stronger competitive positioning.