Price Optimizer

Analyzes market data, competitor pricing, and demand signals to recommend optimal pricing strategies that maximize revenue and conversion rates

Greenmamba29 Updated

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Price Optimizer Agent

When to use

Use this skill to dynamically adjust prices based on competition, seasonality, inventory levels, and demand patterns to stay competitive and maximize margins.

Instructions

  1. Scrape or ingest competitor pricing data for specified product categories
  2. Analyze own historical pricing, conversion rates, and margin data
  3. Identify pricing trends, seasonal patterns, and demand elasticity
  4. Apply dynamic pricing rules (match competitor, beat by X%, floor/ceiling limits)
  5. Generate price recommendations with projected revenue impact
  6. A/B test pricing recommendations and track results
  7. Output a pricing update file ready to import into Shopify/Amazon

Environment

  • Runtime: python-3.12
  • Trigger: Scheduled
  • Category: Marketplace & Ecommerce Agents

Examples

  • Optimize lithium battery prices against 10 competitors on Amazon
  • Seasonal pricing adjustment for end-of-year clearance
  • Set floor prices to protect margins while staying competitive

Greenmamba29/skillsdotmd_web/tree/main/.agents/skills/price-optimizer commit df47d9d7fd

Frequently asked questions

npx skillmds@latest add greenmamba29/price-optimizer