Introduction
In the fast-moving world of fashion retail, real-time price intelligence is critical. Brands like Zara, H&M, and Amazon Fashion frequently update their catalogs, introduce new campaigns, and offer flash sales that can shift customer interest in hours.
A global fashion analytics agency collaborated with Actowiz Solutions to create a centralized system for real-time price tracking, discount monitoring, and new arrival detection across the top fashion platforms.
Objectives
- Track real-time price changes for 1,000+ apparel SKUs across Amazon, Zara, and H&M.
- Identify new arrivals by category (e.g., Dresses, T-Shirts, Footwear).
- Monitor discount campaigns and flash sales across regions.
- Enable pricing and merchandising teams with actionable dashboards.
Challenges
- Platforms used dynamic JavaScript rendering and geolocation-based pricing.
- Some price changes occurred hourly, especially during sale seasons.
- Catalog changes often lacked structured APIs, especially for Zara and H&M.
- Product URLs shifted frequently due to new collections.
Actowiz Solutions’ Strategy
1. Hybrid Scraping Infrastructure:
- Amazon Fashion: Utilized API + HTML parsing for accurate price and rating extraction.
- Zara & H&M: Deployed headless browser automation (Puppeteer) to simulate dynamic navigation.
2. Product Matching & Catalog Versioning:
- SKU-level normalization based on title, category, color, and size.
- Tagged new arrivals based on SKU timestamp and URL pattern.
3. Campaign Detection Engine:
- Identified discount campaigns using keywords (“sale”, “limited offer”, “exclusive”) in banner scripts and CSS tags.
- Detected pricing anomalies (e.g., price drops > 20% in 24 hours).
Sample Data Snapshot
Platform |
Product Name |
Category |
Region |
Original Price |
Current Price |
Discount % |
New Arrival |
Timestamp |
Zara |
Draped Midi Dress |
Dresses |
US |
$89.90 |
$69.90 |
22.2% |
No |
2025-06-01 09:00 AM |
H&M |
Oversized Hoodie |
Tops |
UK |
£29.99 |
£29.99 |
0.0% |
Yes |
2025-06-01 09:00 AM |
Amazon |
Levi's Slim Jeans |
Bottoms |
CA |
$59.00 |
$39.99 |
32.3% |
No |
2025-06-01 09:00 AM |
Key Results
🔹 Tracked 14,000+ Price Changes in 30 Days
- Detected and logged updates across 1,000+ SKUs, segmented by category and region.
🔹 95% Accuracy in New Arrival Detection
- SKU timestamp and catalog diff engine ensured near-real-time identification.
🔹 Enabled Early Discount Alerts
- Alerts for price drops >15% allowed client to act within 2 hours on campaign opportunities.
🔹 Visual Price Maps by Category & Region
- Helped marketing teams prioritize promotions by geo-performance.
Dashboards Delivered
- Discount Heat Map by Brand & Region
- New Arrival Monitor (SKU Feed by Date)
- Price Drop Tracker
- Flash Sale Alert Log (Sorted by Category)
Technology Stack
- Languages: Python, JavaScript
- Scraping Tools: Puppeteer, Selenium, Requests
- Data Storage: MongoDB, PostgreSQL
- Scheduler: AWS Lambda (4-hour intervals)
- Visualization: Looker Studio, Power BI
Why Actowiz Solutions?
Client Testimonial
“Actowiz brought fashion pricing out of the dark. Their tracking helped us monitor competitor moves, optimize our own pricing, and never miss a campaign beat.”
— VP of Global Merchandising, Fashion Retail Analytics
Next Steps
- Integrate ASOS, SHEIN, and Mango catalogs
- Add size availability and low-stock flag detection
- Predict next discount cycles based on historical drop patterns
Conclusion
In fashion, speed and visibility mean everything. With Actowiz Solutions' real-time fashion price intelligence system, this brand gained a competitive edge by staying informed on pricing trends, new arrivals, and hidden discounts. The result? Smarter pricing decisions, optimized campaign timing, and deeper consumer alignment.