Automating Competitor Price Tracking to Protect Margin & Inform Strategy

Industry: Industrial Wholesale (Mining, Medical, Air Systems)
Focus: Competitive Analysis, Price Intelligence, SQL Reporting, Automation
Tools: Python, SQL Server, Excel VBA, OEM Matching, Web Scraping

The Challenge

The company had not conducted a structured pricing review in years. Despite expanding inventory, margins were eroding and many products were priced below cost. Pricing was inconsistent, reactive, and disconnected from market reality.

  • Competitor pricing was not tracked in a structured way
  • No link existed between OEM data and internal SKUs
  • Manual updates led to inconsistency and risk
  • Leadership lacked visibility over margin gaps

What I Did

  • Built Python Web Scraper: Captured real-time competitor pricing, SKUs, pack sizes, and OEM part numbers from major competitor websites.
  • Developed Excel Matching Tool: Used VBA logic to map OEM part numbers to internal SKUs, standardising and structuring incoming competitor data.
  • Integrated SQL Reporting: Pushed data into SQL, built scripts to calculate variances, flag margin risks, and summarise pricing trends by brand, category, and threshold.
  • Automated Monthly Reports: Scheduled scraper and delivered drill-down Excel reports to executives, summarising risks, wins, and opportunities by range.

The Result

  • 📉 Identified hundreds of below-cost SKUs that had gone unnoticed
  • 📈 Recovered lost margin through systematic pricing realignment
  • 💼 Introduced a repeatable, automated process to monitor pricing monthly
  • 🔍 Empowered strategic negotiations and rationalisation across suppliers

Why It Mattered

This system turned pricing from a guessing game into a strategic lever. Leadership no longer relied on gut feel — they had real data, updated monthly, to guide decisions and protect profitability.

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