Electronics · USA · Pricing

Competitor monitoring & dynamic pricing

A US electronics store couldn't track 22 competitors by hand. The brief: automate price collection and find a pricing strategy that protects margin without losing the sale.

Coverage: 22 competitors · daily Stack: Python · scraping · pricing engine Timeline: 4 weeks
pricing_engine · BI
updated today
Gross margin
+7.2pp
percentage points
Price coverage
22
competitors tracked
Repricing
hourly
was manual / weekly
Revenue
+$1.4M
annualized

Our price vs market median

indexed, by week

Price positioning

share of SKUs vs the market

◆ Findings
  • Manual price checks were always a few days stale, so prices drifted out of line.
  • On hot products the store was either leaving margin or losing the buy-box.
  • There was no rule connecting price to demand and stock.
✓ What we did
  • Automated daily competitor scraping across all key categories.
  • Built a rules-based pricing engine that balances margin and competitiveness.
  • Added guardrails so prices never drop below a floor or break MAP rules.

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