RedMart & FairPrice: Quick Commerce Price Intelligence

Quick Commerce Price Intelligence from RedMart and FairPrice

This case study showcases how iWeb Data Scraping empowered a global FMCG brand in Singapore to regain its competitive edge in the Q-commerce space by monitoring prices on RedMart and FairPrice. Through automated grocery price intelligence—scraping product, promo, and availability data daily—the brand gained real-time visibility into competitor moves, flash sales, and SKU-level trends. By tracking prices, stock, and promotions across both platforms, iWeb enabled the brand to respond faster, optimize pricing strategies, and regain market share—all while eliminating manual tracking and unlocking SKU-level pricing intelligence.

Business Objective

A global FMCG brand operating in Singapore was steadily losing market share on Q-commerce platforms due to uncompetitive pricing across SKUs, lack of real-time visibility into competitor promotions, and a delayed response to time-sensitive RedMart flash sales. Additionally, the brand relied on manual methods to monitor FairPrice listings, resulting in inefficiencies and missed opportunities. To address these challenges, the brand partnered with iWeb Data Scraping to automate grocery price tracking.

By leveraging RedMart price scraping in Singapore and FairPrice product price monitoring, the company gained access to real-time grocery pricing data in Singapore. This comprehensive Quick Commerce & FMCG Data Extraction Services of RedMart and FairPrice enabled smarter, faster decisions based on accurate, timely data. With iWeb's Quick commerce price intelligence in Singapore, the brand regained pricing competitiveness and responded swiftly to dynamic market shifts.

Platforms Monitored

RedMart (via Lazada)

• URL Patterns: lazada.sg/redmart
• Scraped Data: Product title, size, image, price, promo labels, availability

FairPrice Online

• URL: fairprice.com.sg
• Scraped Data: Product price, discount tag, multibuy offers, stock status, reviews

iWeb Scraping Solution

The data scraping system was designed to:

• Run daily scrapes (with option for hourly tracking during sale days)
• Normalize SKUs across both platforms
• Track multiple variants (pack sizes, flavors, etc.)
• Deliver data via API + weekly CSV exports
• Integrate with the client’s Power BI dashboard

Sample Data SnapshotDateProductPlatformPriceDiscountAvailabilityPromo Type2025-07-08Milo 3-in-1 (18s)RedMartSGD 6.90SGD 1.00In StockFlash Deal2025-07-08Milo 3-in-1 (18s)FairPriceSGD 7.70SGD 0.50In StockMember Price2025-07-08Dettol Handwash 500mlRedMartSGD 4.20NoneIn Stock-2025-07-08Dettol Handwash 500mlFairPriceSGD 3.95SGD 0.25Out of Stock-Key Price Trends Identified

• FairPrice had more frequent discounts on household items
• RedMart offered flash discounts for shorter windows (4–6 hours)
• FairPrice showed price consistency, but higher base price
• Price swings of up to 15% weekly observed during festival periods

Regional SKU Pricing Differences

While both platforms are national, product availability and discounting varied:

ProductLocationRedMart PriceFairPrice PriceSunsilk Shampoo 650mlOrchardSGD 8.50SGD 9.10Sunsilk Shampoo 650mlJurongSGD 9.20SGD 8.80Ayam Brand Baked BeansBishanSGD 2.45SGD 2.40Business Impact for the Client

Within 30 days of deploying iWeb’s solution:

• Detected pricing gaps and adjusted SKUs for 10% lift in conversions
• Matched RedMart’s flash sales for top 15 SKUs, maintaining price parity
• Set up auto alerts for weekend-only discounts
• Reduced manual tracking effort by 95%
• Unlocked pricing intelligence for quarterly planning

Challenges SolvedPrevious ProblemPost-Integration ImpactManual price audits weeklyDaily automated price syncMissed RedMart flash salesInstant alerts with tracking dashboardNo SKU-level promo historyFull weekly & monthly price logsFragmented FairPrice product dataUnified taxonomy and SKU matchingTechnical Architecture

Scraping: Python + Playwright + Mobile View Emulation

Storage: AWS S3 + PostgreSQL

Delivery: REST API + Email CSV exports

Visualization: Power BI + Looker

Ethical & Compliant Scraping

• Data scraped only from public, non-authenticated pages
• Frequency throttled to avoid detection or rate-limiting
• No login, checkout, or PII data accessed
• Client-specific disclaimer added for internal use

Conclusion

As quick commerce (Q-commerce) gains momentum in Singapore, FMCG brands must adopt a data-driven approach to remain competitive. Leveraging Singapore grocery a price tracking APIs enables real-time insights into market fluctuations. With tools like iWeb Data Scraping for FMCG brands, companies can effortlessly monitor competitor activity and develop a robust Q-commerce competitive pricing strategy . Accurate and timely data allows businesses to execute precise price matching, especially on key platforms like RedMart and FairPrice, where RedMart FairPrice grocery comparison is crucial for gaining consumer attention. Through comprehensive online grocery analytics in Singapore, brands can optimize pricing without compromising profitability—turning data into a strategic edge.

Source>> https://www.iwebdatascraping.com/qcommerce-price-intelligence-redmart-fairprice.php

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