旅遊動態定價

AI ↔ AI

需求預測、競品監控、收益管理與房價發布。

5 個節點 · 5 條連接travel

agentapisystem

視覺化

需求預測代理人agent

利用歷史資料，按日期、房型與市場區段預測訂房需求。

↓sequential→ 收益管理代理人

競品監控代理人agent

爬取 OTA 列表與競品直接訂房房價，比較類似物件。

↓parallel→ 收益管理代理人

收益管理代理人agent

在各訂房窗期內平衡住房率目標與每間客房收益目標。

↓sequential→ 定價決策代理人

定價決策代理人agent

綜合需求、競爭態勢、活動與庫存，設定最終每晚房價。

↓sequential→ 發布房價

發布房價api

將房價推送至通路管理系統，分發至 OTA、GDS 與直訂引擎。

↓loop→ 需求預測代理人

在編輯器開啟

uc-dynamic-pricing.osop.yaml

osop_version: "1.0"
id: "dynamic-pricing"
name:"旅遊動態定價"
description:"需求預測、競品監控、收益管理與房價發布。"

nodes:
  - id: "demand_forecast"
    type: "agent"
    subtype: "llm"
    name: "需求預測代理人"
    description: "利用歷史資料，按日期、房型與市場區段預測訂房需求。"

  - id: "competitor_monitor"
    type: "agent"
    subtype: "worker"
    name: "競品監控代理人"
    description: "爬取 OTA 列表與競品直接訂房房價，比較類似物件。"

  - id: "yield_mgmt"
    type: "agent"
    subtype: "llm"
    name: "收益管理代理人"
    description: "在各訂房窗期內平衡住房率目標與每間客房收益目標。"

  - id: "pricing_decision"
    type: "agent"
    subtype: "llm"
    name: "定價決策代理人"
    description: "綜合需求、競爭態勢、活動與庫存，設定最終每晚房價。"

  - id: "publish_rates"
    type: "api"
    name: "發布房價"
    description: "將房價推送至通路管理系統，分發至 OTA、GDS 與直訂引擎。"

edges:
  - from: "demand_forecast"
    to: "yield_mgmt"
    mode: "sequential"
  - from: "competitor_monitor"
    to: "yield_mgmt"
    mode: "parallel"
  - from: "yield_mgmt"
    to: "pricing_decision"
    mode: "sequential"
  - from: "pricing_decision"
    to: "publish_rates"
    mode: "sequential"
  - from: "publish_rates"
    to: "demand_forecast"
    mode: "loop"
    when: "schedule.next_cycle == true"
    label: "Re-run pricing cycle every 6 hours"