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Case Study: Real-Time Price Intelligence: How Actowiz Solutions Helped an FMCG Brand Dominate Competitive Pricing

Learn how Actowiz Solutions enabled an FMCG giant to lead the market with real-time pricing data from top competitors using web scraping.

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Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

In the hyper-competitive world of Fast-Moving Consumer Goods (FMCG), real-time access to competitor pricing can be a game-changer. A leading FMCG brand approached Actowiz Solutions with a critical challenge: gain instant visibility into competitor product pricing across multiple platforms to make dynamic pricing decisions and defend market share.

This case study explores how Actowiz Solutions deployed a real-time price intelligence system through multi-site web scraping to give the client a competitive edge across 5 countries.

Business Challenge

The-Client

The client, a multinational FMCG conglomerate, was struggling with:

  • Price disparity across online and offline channels
  • Lack of real-time competitor intelligence
  • Inability to track dynamic promotions and offers
  • Difficulty aligning pricing strategy across regional markets

They needed a system that could:

  • Track product pricing across e-commerce sites like Amazon, Walmart, Target, BigBasket, and Flipkart
  • Monitor real-time changes
  • Aggregate this data into a single dashboard for pricing analysts

Solution Offered by Actowiz Solutions

Actowiz Solutions built a scalable and automated price scraping infrastructure that:

  • Collected pricing data for over 8,000 FMCG SKUs across 5 countries
  • Captured prices, offers, discount tags, and availability status
  • Ran on a daily and hourly scraping schedule
  • Delivered clean data via APIs and CSV exports

Key Platforms Scraped:

The-Client
  • India: BigBasket, Zepto, JioMart
  • USA: Walmart, Amazon, Target
  • UK: Tesco, Sainsbury's
  • UAE: Carrefour, Lulu Hypermarket
  • Germany: Lidl, REWE

Data Workflow and Infrastructure

Actowiz designed a robust backend using Python, Scrapy, and AWS Lambda for scalability. The data pipeline included:

  • 1. URL Feed Management – Automated URL generation for product categories
  • 2. Crawling & Parsing – Extraction of product titles, prices, SKU codes, brand names, and discount information
  • 3. Validation & Deduplication – Ensured accurate, unique data with no duplicate records
  • 4. Data Delivery – Uploaded data to an AWS S3 bucket and a live Power BI dashboard via API

Sample Data Extracted

Product Name Platform Country MRP Selling Price Discount Availability
Dove Body Wash 500ml Amazon USA $7.99 $6.49 18.8% In Stock
Colgate MaxFresh Flipkart India ₹60 ₹50 16.7% In Stock
Maggi Noodles 70g BigBasket India ₹20 ₹18 10% In Stock
Heinz Ketchup 500g Walmart USA $3.50 $2.89 17.4% In Stock
Persil Detergent 1L REWE Germany €5.99 €4.79 20% In Stock

Results & Business Impact

1. Competitive Benchmarking
  • Client could instantly compare pricing with top 3 competitors by region and SKU.
  • Dashboards updated in near-real time helped category managers make daily adjustments.
2. Dynamic Pricing Optimization
  • Enabled hourly pricing changes on their own D2C platforms and retail partners.
  • Improved profit margins by 7-9% through better alignment with market trends.
3. Regional Strategy Alignment
  • Unified pricing strategies across USA, India, UAE, and Germany based on market signals.
  • Identified regions where products were priced too high or too low.
4. Promotion & Offer Tracking
  • Tracked competitor campaigns like "Buy 1 Get 1" or flash sales within minutes of activation.
  • Client used this intelligence to launch counter-campaigns.

Tech Stack Used

  • Scrapy Framework for scalable spiders
  • AWS Lambda for parallel processing
  • PostgreSQL for structured data storage
  • Power BI for live analytics
  • S3 + API delivery for seamless integration

Challenges Faced

  • Frequent layout changes by eCommerce platforms
  • Geo-restrictions in certain regions (solved using proxy rotation)
  • Parsing regional currencies and units into a unified format

Actowiz used AI-based anomaly detection to monitor scraper health and dynamically update XPath rules.

Client Testimonial

"Actowiz Solutions transformed our pricing game. The accuracy, speed, and actionable insights we received gave us a real competitive advantage across regions."

— VP, Pricing & Strategy, Global FMCG Brand

Conclusion

Through real-time price scraping across global eCommerce platforms, Actowiz Solutions empowered an FMCG brand with instant market intelligence, helping them dominate in multiple regions. The insights not only boosted margins but also enhanced their agility in a fast-moving, price-sensitive market.

Whether you're in FMCG, retail, or Q-commerce—Actowiz has the data muscle to fuel your pricing and growth strategy.