pricing-optimizer

name	pricing-optimizer
description	Optimize product pricing using competitor analysis, elasticity modeling, and margin protection rules
allowed-tools	["Read","Write","Bash","Grep"]
effort	high

When to activate

• Reviewing product pricing against competitors
• Modeling price elasticity to find optimal price points
• Setting dynamic pricing rules based on inventory velocity
• Protecting margins during promotional periods
• Analyzing price change impact on revenue and units

When NOT to use

• For one-off discount code creation
• For subscription pricing (different model)
• For marketplace fee calculations

Instructions

1. Gather competitor prices. Scrape or import competitor pricing for top 50 SKUs; track weekly.
2. Calculate price positioning. Your price vs. competitor avg: premium (>110%), parity (90-110%), discount (<90%).
3. Model elasticity. Track unit sales before/after price changes; compute elasticity coefficient per category.
4. Set pricing rules. Floor = cost + min margin (10%). Ceiling = competitor avg + 15%. Auto-adjust within band.
5. Simulate scenarios. Model revenue impact of ±5%, ±10% price changes on top 20 products.
6. Protect margins. Block any price below cost + 10%; flag prices below cost + 15% for review.
7. Report recommendations. Output: SKU, current price, competitor avg, recommended price, projected revenue impact.

Example

Pricing Analysis — SKU: WIDGET-BLUE-LG
Current Price: $29.99
Competitor Avg: $32.50 (range: $27.99 - $38.99)
Position: Discount (92% of avg)
Elasticity: -1.3 (10% price increase → 13% unit decrease)
Recommendation: Increase to $31.99 (6.7% increase)
Projected Impact: +$2.00 margin, -4.2% units, net +$1,240/mo revenue