AI 驅動的價格最佳化

AI ↔ AI

競品爬蟲將資料輸入需求預測、彈性建模與定價引擎。

5 個節點 · 5 條連接retail
agentapisystem
視覺化
競品價格爬蟲agent

爬取競品網站與市場平台,提取 SKU 集合的現行價格。

sequential需求預測代理人
parallel彈性建模代理人
需求預測代理人agent

利用銷售歷史與競品價格預測各 SKU 的 7 日需求。

sequential定價引擎
彈性建模代理人agent

從歷史資料計算各產品類別的價格彈性曲線。

parallel定價引擎
定價引擎agent

在滿足銷量限制的前提下,最佳化價格以最大化利潤率。

sequential套用價格
套用價格api

透過 API 將更新後的價格推送至 POS 系統與電商平台。

uc-price-optimization.osop.yaml
osop_version: "1.0"
id: "price-optimization"
name:"AI 驅動的價格最佳化"
description:"競品爬蟲將資料輸入需求預測、彈性建模與定價引擎。"

nodes:
  - id: "scrape_competitors"
    type: "agent"
    subtype: "worker"
    name: "競品價格爬蟲"
    description: "爬取競品網站與市場平台,提取 SKU 集合的現行價格。"
    timeout_sec: 120

  - id: "demand_prediction"
    type: "agent"
    subtype: "llm"
    name: "需求預測代理人"
    description: "利用銷售歷史與競品價格預測各 SKU 的 7 日需求。"

  - id: "elasticity_model"
    type: "agent"
    subtype: "llm"
    name: "彈性建模代理人"
    description: "從歷史資料計算各產品類別的價格彈性曲線。"

  - id: "pricing_engine"
    type: "agent"
    subtype: "llm"
    name: "定價引擎"
    description: "在滿足銷量限制的前提下,最佳化價格以最大化利潤率。"

  - id: "apply_prices"
    type: "api"
    name: "套用價格"
    description: "透過 API 將更新後的價格推送至 POS 系統與電商平台。"

edges:
  - from: "scrape_competitors"
    to: "demand_prediction"
    mode: "sequential"
  - from: "scrape_competitors"
    to: "elasticity_model"
    mode: "parallel"
  - from: "demand_prediction"
    to: "pricing_engine"
    mode: "sequential"
  - from: "elasticity_model"
    to: "pricing_engine"
    mode: "parallel"
  - from: "pricing_engine"
    to: "apply_prices"
    mode: "sequential"