GrabMart Singapore

The Singapore Grab Quick Commerce Dataset provides a real-time snapshot of the hyper-local delivery ecosystem. This dataset is essential for analyzing the "last-mile" economy, monitoring grocery price fluctuations, and tracking SKU-level availability across dark stores and local retail hubs.

By capturing granular data such as delivery estimates, platform-specific markups, and stock status across multiple geofenced zones, this dataset enables retailers and FMCG brands to optimize their dark store operations and competitive positioning in the rapid delivery market.

What's Included

• Store & Location: store_name, branch_id, geolocation (lat/long), service_area_zip
• Product Details: product_name, brand, category (e.g., Fresh Produce, Dairy), unit_size/weight
• Real-time Logistics: estimated_delivery_time, delivery_fee, small_order_fee
• Pricing & Promos: shelf_price, discounted_price, "Buy X Get Y" offers, platform_commission_estimate
• Inventory Insights: stock_status (In Stock/Out of Stock), limited_quantity_flags, replacement_suggestions
• Customer Feedback: merchant_rating, product_reviews, total_orders_estimate
• Technical Metadata: timestamp_scraped (minute-level precision), platform_source, app_version

Key Benefits

• ✅ Hyper-local Accuracy: Data mapped to specific zip codes and dark store radii.
• ✅ FMCG Optimized: Tracking of Grab across high-velocity grocery categories.
• ✅ Price Gap Analysis: Compare in-store retail prices vs. quick commerce platform pricing.
• ✅ Ready-to-Use: Cleaned data delivered in CSV, JSON, or Parquet for high-frequency analysis.