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E-commerce Case Study

E-commerce Competitor Intelligence System

An e-commerce company needed real-time visibility into competitor pricing, inventory, and content changes to stay competitive in a fast-moving market.

E-commerce Brand
6 weeks project

15

Competitors

Monitored continuously

< 5 min

Detection time

For price changes

2,500+

SKUs tracked

Across all competitors

12%

Margin improvement

Through dynamic pricing

The Challenge

The client operated in a highly competitive e-commerce vertical where pricing and availability could shift multiple times per day. Their existing approach to competitive intelligence was manual:

  • Weekly manual checks of competitor websites
  • No systematic tracking of price changes
  • Missed opportunities when competitors went out of stock
  • Reactive rather than proactive pricing strategy

By the time they discovered a competitor had dropped prices or run out of inventory, the opportunity had often passed. They needed real-time visibility to make faster, smarter decisions.

The Solution

We built a comprehensive competitor intelligence platform with three core components:

1. Automated Competitor Monitoring

A resilient scraping system that continuously monitors 15 competitor websites, tracking over 2,500 SKUs. The system handles anti-bot measures, maintains session state, and automatically recovers from failures. Data is collected every 15 minutes for high-priority products and hourly for the broader catalog.

2. Intelligent Alerting System

Rather than flooding the team with every minor change, we built an intelligent alerting layer that prioritizes notifications based on business impact. Significant price drops, stock-outs on popular items, and new product launches trigger immediate Slack alerts to relevant team members.

3. Analytics Dashboard

A custom Plotly/Dash dashboard provides historical analysis of competitor pricing trends, identifies patterns (like regular sale cycles), and surfaces opportunities for strategic positioning. The team can analyze any competitor, category, or product over custom date ranges.

The Results

Within 6 weeks of deployment:

  • 15 competitors monitored in real-time (previously 3 checked weekly)
  • Price changes detected in under 5 minutes
  • 2,500+ SKUs tracked continuously
  • 12% improvement in gross margins through dynamic pricing

The system transformed their competitive strategy from reactive to proactive. They now anticipate competitor moves and position themselves strategically rather than constantly playing catch-up.

"We used to find out about competitor price changes days later through customer complaints. Now we know within minutes and can respond strategically."
D

Director of E-commerce

E-commerce Brand

Tech Stack

Python Playwright PostgreSQL Redis Slack API Plotly/Dash

Services Provided

Web Scraping Data Pipeline Development Real-time Alerting Dashboard Development

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