AI Competitor Price Monitoring Tool
Manual and Automation QA Engineer
Problem Statement
E-commerce brands manually checked competitor websites for pricing, a time-consuming process that missed rapid price changes. Without real-time competitive intelligence, businesses lost sales to competitors with better pricing.
Approach & Solution
Designed and executed comprehensive test suites for web scraping accuracy, price extraction algorithms, change detection logic, and alert delivery systems. Validated data parsing across diverse e-commerce platforms (Amazon, Shopify, custom websites).
Testing Strategy
Collaborated with developers to test scraping resilience against anti-bot measures, proxy rotation, and rate limiting. Performed API testing for price comparison endpoints and webhook notifications. Conducted load testing to ensure system handled monitoring of 100K+ product URLs.
Before vs After Comparisons
Manual vs Automated Price Tracking
Staff manually visiting competitor websites, copying prices into spreadsheets, and comparing against own pricing.
Automated scraping engine tracking competitor prices 24/7 with AI-powered data extraction and real-time dashboards.
Key Improvements
Price Change Response Time
Price changes discovered days or weeks later during manual checks, missing competitive windows.
Instant notifications via email, Slack, or webhook when competitor prices change beyond set thresholds.
Key Improvements
Competitive Intelligence Quality
Basic price comparisons in spreadsheets with no historical trends, analytics, or actionable insights.
Comprehensive dashboards with price history, trend predictions, competitor benchmarking, and automated reports.
Key Improvements
E-commerce Platform Coverage
Manual checking limited to major marketplaces, missing niche competitors and regional sites.
AI-powered scraping adapts to any e-commerce platform with automatic currency conversion and global coverage.
Key Improvements
Revenue Impact & ROI
Pricing decisions made without real-time competitive data, leading to lost sales and margin erosion.
Optimized pricing based on real-time competitive intelligence, maximizing both sales and margins.
Key Improvements
Code Implementation
import http from "k6/http";
import { check, sleep } from "k6";
export default function () {
const productIds = Array.from({ length: 100 }, (_, i) => `PROD-${i}`);
// Batch scrape request
const response = http.post(
`${__ENV.API_URL}/api/v1/scraper/batch`,
JSON.stringify({ product_ids: productIds }),
{ headers: { "Content-Type": "application/json", "Authorization": `Bearer ${__ENV.API_TOKEN}` } }
);
check(response, {
"status is 200": (r) => r.status === 200,
"batch processed": (r) => r.json().processed === 100,
"response time OK": (r) => r.timings.duration < 3000,
});
sleep(1);
}Results & Impact
Achieved 98.5% price extraction accuracy across 50+ e-commerce platforms. Validated price change detection within 15-minute intervals with 99.2% accuracy. Ensured alert delivery within 60 seconds of price changes.