Q-Commerce Platform Tracks
1.2M SKUs Across 9 Cities
Every 30 Minutes

The Problem

The client was a well-funded quick commerce startup operating dark stores across 9 Indian cities. They competed directly against Blinkit, Zepto, and Swiggy Instamart — platforms that updated pricing and promotional offers multiple times per day.

Without real-time competitor intelligence, their category managers were setting prices on intuition rather than data. Promotions from competitors went unnoticed for hours, during which the client consistently lost basket share on high-frequency categories like dairy, snacks, and household essentials.

• No real-time visibility into competitor pricing across any category
• Promotional detection happening 4–6 hours after competitor activation
• Category managers manually checking apps to spot competitor moves
• Pricing decisions based on weekly category reviews, not live data
• Zero availability tracking — no data on competitor stockouts

What DataGators Built

DataGators engineered a high-frequency pipeline designed specifically for the quick commerce environment — where prices and availability can change every few minutes. The system monitored 1.2 million SKUs across Blinkit, Zepto, and Swiggy Instamart, refreshed every 30 minutes, across all 9 cities.

• City-specific scrapers built for each of the 3 competitor platforms
• SKU matching using barcode data, brand names, and pack size normalisation
• Price, discounted price, promotional badge, and availability tracked per SKU per city
• Stockout detection with duration tracking to identify supply chain gaps
• Data delivered to client's internal dashboard via REST API every 30 minutes
• Promotional calendar extraction to surface scheduled deals before they go live

The Results

The pipeline went live 14 days after the discovery call. Within 45 days the client's category team had moved from weekly pricing reviews to continuous pricing — responding to competitor moves within 20 minutes on average across all tracked categories.

Technology Stack

Quick commerce apps are among the most technically challenging sources to scrape — they use mobile-first APIs, aggressive session management, and location-based content delivery. DataGators' mobile emulation infrastructure was purpose-built for this environment.

• Mobile API interception for Blinkit, Zepto, and Swiggy Instamart
• Location spoofing to collect city-specific and dark-store-specific pricing
• Pack size and unit normalisation for accurate price-per-unit comparison
• REST API delivery with 30-minute guaranteed freshness SLA
• Stockout and restock event tracking with timestamp logging