Price Optimization Tool
Evaluates e-commerce price candidates using unit economics, elasticity analysis, scenario modeling, and controlled pricing experiments.
The Price Optimization Tool skill empowers online sellers to make evidence-based pricing decisions across Amazon, Shopify, TikTok Shop, Walmart, and eBay. It rigorously audits historical sales and cost data, calculates contribution economics and strict price floors, measures demand elasticity, models base/upside/downside scenarios, and constructs controlled pricing experiments with defined guardrails and rollback rules to maximize profit without compromising customer trust or platform compliance.
主な機能
01Calculates unit economics, net revenue, contribution margins, and hard price floors
02Performs demand elasticity analysis and flags data fitness or confounding variables
03Designs controlled price experiments with hypotheses, guardrails, and decision rules
04Generates structured recommendations with uncertainty bounds and reversible rollouts
05798 GitHub stars
06Simulates upside, base, and downside scenarios for standard prices, bundles, and tiers
ユースケース
01Optimizing product bundles, volume discount tiers, and promotional pricing strategies
02Evaluating price candidates and contribution margins across Shopify or Amazon SKUs
03Designing controlled A/B price experiments with clear stop and rollback criteria