Travel Dynamic Pricing

AI ↔ AI

Demand forecasting, competitor monitoring, yield management, and rate publishing.

5 nodes · 5 edgestravel

agentapisystem

Visual

Demand Forecasting Agentagent

Predict booking demand by date, room type, and market segment using historical data.

↓sequential→ Yield Management Agent

Competitor Monitoring Agentagent

Scrape OTA listings and competitor direct rates for comparable properties.

↓parallel→ Yield Management Agent

Yield Management Agentagent

Balance occupancy targets against revenue-per-room goals across booking windows.

↓sequential→ Pricing Decision Agent

Pricing Decision Agentagent

Set final nightly rates incorporating demand, competition, events, and inventory.

↓sequential→ Publish Rates

Publish Ratesapi

Push rates to channel manager distributing to OTAs, GDS, and direct booking engine.

↓loop→ Demand Forecasting Agent

Open in Editor

uc-dynamic-pricing.osop.yaml

osop_version: "1.0"
id: "dynamic-pricing"
name: "Travel Dynamic Pricing"
description: "Demand forecasting, competitor monitoring, yield management, and rate publishing."

nodes:
  - id: "demand_forecast"
    type: "agent"
    subtype: "llm"
    name: "Demand Forecasting Agent"
    description: "Predict booking demand by date, room type, and market segment using historical data."

  - id: "competitor_monitor"
    type: "agent"
    subtype: "worker"
    name: "Competitor Monitoring Agent"
    description: "Scrape OTA listings and competitor direct rates for comparable properties."

  - id: "yield_mgmt"
    type: "agent"
    subtype: "llm"
    name: "Yield Management Agent"
    description: "Balance occupancy targets against revenue-per-room goals across booking windows."

  - id: "pricing_decision"
    type: "agent"
    subtype: "llm"
    name: "Pricing Decision Agent"
    description: "Set final nightly rates incorporating demand, competition, events, and inventory."

  - id: "publish_rates"
    type: "api"
    name: "Publish Rates"
    description: "Push rates to channel manager distributing to OTAs, GDS, and direct booking engine."

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"

←

Intelligent Complaint Classification

Intelligent Document Understanding

→