In the hyper-competitive U.S. e-commerce landscape, particularly in consumer electronics, price sensitivity is high, and market conditions change rapidly. Our client, a major e-commerce retailer, struggled with:
Inability to track competitor pricing and stock levels in real-time due to frequent change of product availability.
Manual or delayed pricing updates, leading to lost sales opportunities.
Lack of visibility into market trends for strategic price positioning.
Difficulty integrating external competitor data into internal systems.
Insufficient insights to support effective dynamic pricing and promotional strategies.
Without dynamic and timely intelligence, the client was unable to respond effectively to market shifts, resulting in stagnant revenue growth and declining pricing competitiveness.
Gain real-time market visibility to enable data-driven pricing.
Automate the tracking of competitor pricing, stock levels, and promotions.
Drive revenue growth through dynamic pricing optimization.
Empower internal teams with insights to act quickly and strategically.
A scalable scraping solution to monitor thousands of SKUs across multiple competitor sites.
Automated delivery of structured data, including price, stock, and promotion status.
Integration with existing pricing engines and internal decision-making systems.
A dynamic pricing intelligence layer to recommend optimal price points.
Dashboards for visual trend tracking and real-time alerts.
Ongoing support and training to ensure sustainable adoption.
We delivered a tailored Real-Time Competitor Scraping Platform built specifically for the client’s product range and operational needs. Our solution included:
Real-Time Scraping Infrastructure: High-frequency scrapers built using headless browsers (Playwright/Puppeteer) to extract up-to-date pricing, inventory, and promotional data.
Custom Price Tracking Tool: Integrated directly with the client’s pricing engine to automate instant price adjustments based on competitor changes.
Dynamic Price Intelligence Engine: An analytics layer to recommend pricing strategies by analyzing historical and real-time data.
Market Monitoring Dashboards: Interactive dashboards offering granular insights into pricing trends, competitor activity, and SKU-level performance.
Automated Alerts & Reports: Real-time triggers for price drops, restocks, or major market shifts.
Integration & Support: Seamless integration with internal systems and continuous support to ensure smooth onboarding and operational sustainability.
Scraping Frameworks: Python, Playwright, Puppeteer
Infrastructure: AWS (EC2, Lambda), CloudWatch
Data Processing: PostgreSQL, Redis, Apache Airflow
APIs & Delivery: REST APIs, JSON feeds, Webhooks
Visualization: Power BI or Custom Dashboard (React + Node.js)
Bypass Tools: Proxy rotation, CAPTCHA solvers, user-agent spoofing
25% revenue increase in the first quarter post-deployment.
>90% reduction in manual price tracking and data aggregation efforts.
Real-time reaction capability, enabling proactive pricing decisions.
Significant conversion rate improvement through smarter price positioning.
Complete visibility into competitor behavior across thousands of SKUs.
Enabled the client to implement a sustainable, scalable, and profitable dynamic pricing strategy.
Last Updated: 21-04-2023