数据与研究

price-optimization-tool

nexscope-ai/eco…e-skills

Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution or revenue, how to estimate elasticity, how to optimize a bundle or tier, or how to design a price experiment across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not claim a proven optimal price without sufficient clean data, and do not change live prices without explicit authorization.

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安装命令

npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill price-optimization-tool

SKILL.md

Price Optimization Tool

Build an evidence-bounded price decision from seller economics and observed behavior, then recommend a reversible test or rollout with explicit uncertainty.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill price-optimization-tool -g

Capabilities

  • Audit price, demand, traffic, promotion, cost, and inventory data for comparability.
  • Calculate contribution economics and hard candidate-price constraints.
  • Estimate directional or numeric elasticity only when the evidence supports it.
  • Compare price candidates under base, downside, and upside demand scenarios.
  • Optimize regular, promotional, bundle, quantity, and good-better-best price candidates.
  • Design controlled price tests with hypotheses, guardrails, confounder controls, and decision rules.
  • Produce a recommendation with uncertainty, approval requirements, and a reversible rollout.