hospitality-expert
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ChineseHospitality Expert
酒店业专家指南
Expert guidance for hotel management, reservation systems, property management systems (PMS), guest services, revenue management, and hospitality technology solutions.
为酒店管理、预订系统、物业管理系统(PMS)、宾客服务、收益管理及酒店科技解决方案提供专业指导。
Core Concepts
核心概念
Hotel Management Systems
酒店管理系统
- Property Management System (PMS)
- Central Reservation System (CRS)
- Revenue Management System (RMS)
- Channel Manager
- Point of Sale (POS)
- Guest Relationship Management (GRM)
- Housekeeping management
- 物业管理系统(PMS)
- 中央预订系统(CRS)
- 收益管理系统(RMS)
- 渠道管理器
- 销售点系统(POS)
- 宾客关系管理(GRM)
- 客房清洁管理
Technologies
技术应用
- Mobile check-in/check-out
- Digital key systems
- Guest messaging platforms
- IoT for room automation
- AI chatbots for customer service
- Contactless payments
- Energy management systems
- 移动端入住/退房
- 数字钥匙系统
- 宾客消息平台
- 客房自动化IoT技术
- 客服AI聊天机器人
- 无接触支付
- 能源管理系统
Standards and Protocols
标准与协议
- HTNG (Hotel Technology Next Generation)
- OpenTravel Alliance standards
- PCI-DSS for payment security
- ADA compliance for accessibility
- Brand standards (if franchise)
- OTA integrations (Booking.com, Expedia)
- HTNG(酒店科技下一代标准)
- OpenTravel Alliance标准
- 支付安全PCI-DSS标准
- 无障碍设施ADA合规
- 品牌标准(若为连锁酒店)
- OTA集成(Booking.com、Expedia)
Property Management System
物业管理系统
python
from dataclasses import dataclass
from datetime import datetime, timedelta, date
from typing import List, Optional, Dict
from decimal import Decimal
from enum import Enum
class RoomType(Enum):
STANDARD = "standard"
DELUXE = "deluxe"
SUITE = "suite"
EXECUTIVE = "executive"
class RoomStatus(Enum):
VACANT_CLEAN = "vacant_clean"
VACANT_DIRTY = "vacant_dirty"
OCCUPIED_CLEAN = "occupied_clean"
OCCUPIED_DIRTY = "occupied_dirty"
OUT_OF_ORDER = "out_of_order"
OUT_OF_SERVICE = "out_of_service"
class ReservationStatus(Enum):
CONFIRMED = "confirmed"
CHECKED_IN = "checked_in"
CHECKED_OUT = "checked_out"
CANCELLED = "cancelled"
NO_SHOW = "no_show"
@dataclass
class Room:
"""Hotel room information"""
room_number: str
room_type: RoomType
floor: int
status: RoomStatus
base_rate: Decimal
features: List[str]
bed_type: str
max_occupancy: int
square_feet: int
is_smoking: bool
@dataclass
class Reservation:
"""Guest reservation"""
reservation_id: str
guest_name: str
guest_email: str
guest_phone: str
room_type: RoomType
check_in_date: date
check_out_date: date
num_adults: int
num_children: int
status: ReservationStatus
rate_per_night: Decimal
total_amount: Decimal
special_requests: str
created_at: datetime
booking_source: str # 'direct', 'ota', 'phone', etc.
assigned_room: Optional[str]
@dataclass
class Folio:
"""Guest folio (bill)"""
folio_id: str
reservation_id: str
room_number: str
guest_name: str
charges: List[Dict]
total_charges: Decimal
payments: List[Dict]
balance: Decimal
class PropertyManagementSystem:
"""Hotel property management system"""
def __init__(self):
self.rooms = {}
self.reservations = {}
self.folios = {}
self.guests = {}
def create_reservation(self, reservation_data: dict) -> Reservation:
"""Create new reservation"""
reservation_id = self._generate_reservation_id()
# Calculate total amount
check_in = reservation_data['check_in_date']
check_out = reservation_data['check_out_date']
num_nights = (check_out - check_in).days
rate_per_night = Decimal(str(reservation_data['rate_per_night']))
total_amount = rate_per_night * num_nights
reservation = Reservation(
reservation_id=reservation_id,
guest_name=reservation_data['guest_name'],
guest_email=reservation_data['guest_email'],
guest_phone=reservation_data['guest_phone'],
room_type=RoomType(reservation_data['room_type']),
check_in_date=check_in,
check_out_date=check_out,
num_adults=reservation_data['num_adults'],
num_children=reservation_data.get('num_children', 0),
status=ReservationStatus.CONFIRMED,
rate_per_night=rate_per_night,
total_amount=total_amount,
special_requests=reservation_data.get('special_requests', ''),
created_at=datetime.now(),
booking_source=reservation_data.get('booking_source', 'direct'),
assigned_room=None
)
self.reservations[reservation_id] = reservation
return reservation
def check_in_guest(self, reservation_id: str) -> dict:
"""Process guest check-in"""
reservation = self.reservations.get(reservation_id)
if not reservation:
return {'error': 'Reservation not found'}
# Find available room of requested type
available_room = self._find_available_room(
reservation.room_type,
reservation.check_in_date,
reservation.check_out_date
)
if not available_room:
return {'error': 'No rooms available of requested type'}
# Assign room
reservation.assigned_room = available_room.room_number
reservation.status = ReservationStatus.CHECKED_IN
# Update room status
available_room.status = RoomStatus.OCCUPIED_CLEAN
# Create folio
folio = self._create_folio(reservation, available_room)
return {
'reservation_id': reservation_id,
'room_number': available_room.room_number,
'guest_name': reservation.guest_name,
'check_in_time': datetime.now().isoformat(),
'check_out_date': reservation.check_out_date.isoformat(),
'folio_id': folio.folio_id
}
def check_out_guest(self, reservation_id: str) -> dict:
"""Process guest check-out"""
reservation = self.reservations.get(reservation_id)
if not reservation:
return {'error': 'Reservation not found'}
# Get folio
folio = next(
(f for f in self.folios.values() if f.reservation_id == reservation_id),
None
)
if not folio:
return {'error': 'Folio not found'}
# Check for outstanding balance
if folio.balance > 0:
return {
'error': 'Outstanding balance',
'balance_due': float(folio.balance)
}
# Update reservation status
reservation.status = ReservationStatus.CHECKED_OUT
# Update room status
if reservation.assigned_room:
room = self.rooms.get(reservation.assigned_room)
if room:
room.status = RoomStatus.VACANT_DIRTY
return {
'reservation_id': reservation_id,
'guest_name': reservation.guest_name,
'check_out_time': datetime.now().isoformat(),
'total_charges': float(folio.total_charges),
'folio_summary': {
'room_charges': float(folio.total_charges),
'payments_received': float(folio.total_charges - folio.balance)
}
}
def _find_available_room(self,
room_type: RoomType,
check_in: date,
check_out: date) -> Optional[Room]:
"""Find available room of specified type"""
for room in self.rooms.values():
if room.room_type != room_type:
continue
if room.status not in [RoomStatus.VACANT_CLEAN, RoomStatus.VACANT_DIRTY]:
continue
# Check if room is available for date range
if self._is_room_available(room.room_number, check_in, check_out):
return room
return None
def _is_room_available(self, room_number: str, check_in: date, check_out: date) -> bool:
"""Check if room is available for date range"""
for reservation in self.reservations.values():
if reservation.assigned_room != room_number:
continue
if reservation.status in [ReservationStatus.CANCELLED, ReservationStatus.NO_SHOW]:
continue
# Check for date overlap
if not (check_out <= reservation.check_in_date or check_in >= reservation.check_out_date):
return False
return True
def _create_folio(self, reservation: Reservation, room: Room) -> Folio:
"""Create guest folio"""
folio_id = self._generate_folio_id()
# Calculate room charges
num_nights = (reservation.check_out_date - reservation.check_in_date).days
room_charge = reservation.rate_per_night * num_nights
charges = [{
'date': datetime.now(),
'description': f'Room {room.room_number} - {num_nights} nights',
'amount': float(room_charge)
}]
folio = Folio(
folio_id=folio_id,
reservation_id=reservation.reservation_id,
room_number=room.room_number,
guest_name=reservation.guest_name,
charges=charges,
total_charges=room_charge,
payments=[],
balance=room_charge
)
self.folios[folio_id] = folio
return folio
def post_charge(self, folio_id: str, charge_data: dict) -> dict:
"""Post charge to guest folio"""
folio = self.folios.get(folio_id)
if not folio:
return {'error': 'Folio not found'}
charge = {
'date': datetime.now(),
'description': charge_data['description'],
'amount': float(Decimal(str(charge_data['amount'])))
}
folio.charges.append(charge)
folio.total_charges += Decimal(str(charge_data['amount']))
folio.balance += Decimal(str(charge_data['amount']))
return {
'folio_id': folio_id,
'charge_posted': charge,
'new_balance': float(folio.balance)
}
def process_payment(self, folio_id: str, payment_data: dict) -> dict:
"""Process payment for folio"""
folio = self.folios.get(folio_id)
if not folio:
return {'error': 'Folio not found'}
payment_amount = Decimal(str(payment_data['amount']))
if payment_amount > folio.balance:
return {'error': 'Payment exceeds balance'}
payment = {
'date': datetime.now(),
'payment_method': payment_data['payment_method'],
'amount': float(payment_amount)
}
folio.payments.append(payment)
folio.balance -= payment_amount
return {
'folio_id': folio_id,
'payment_processed': payment,
'remaining_balance': float(folio.balance)
}
def get_room_availability(self, check_in: date, check_out: date) -> dict:
"""Get room availability for date range"""
availability = {}
for room_type in RoomType:
available_count = 0
for room in self.rooms.values():
if room.room_type == room_type:
if self._is_room_available(room.room_number, check_in, check_out):
available_count += 1
availability[room_type.value] = available_count
return {
'check_in_date': check_in.isoformat(),
'check_out_date': check_out.isoformat(),
'availability': availability
}
def _generate_reservation_id(self) -> str:
import uuid
return f"RES-{uuid.uuid4().hex[:10].upper()}"
def _generate_folio_id(self) -> str:
import uuid
return f"FOL-{uuid.uuid4().hex[:8].upper()}"python
from dataclasses import dataclass
from datetime import datetime, timedelta, date
from typing import List, Optional, Dict
from decimal import Decimal
from enum import Enum
class RoomType(Enum):
STANDARD = "standard"
DELUXE = "deluxe"
SUITE = "suite"
EXECUTIVE = "executive"
class RoomStatus(Enum):
VACANT_CLEAN = "vacant_clean"
VACANT_DIRTY = "vacant_dirty"
OCCUPIED_CLEAN = "occupied_clean"
OCCUPIED_DIRTY = "occupied_dirty"
OUT_OF_ORDER = "out_of_order"
OUT_OF_SERVICE = "out_of_service"
class ReservationStatus(Enum):
CONFIRMED = "confirmed"
CHECKED_IN = "checked_in"
CHECKED_OUT = "checked_out"
CANCELLED = "cancelled"
NO_SHOW = "no_show"
@dataclass
class Room:
"""Hotel room information"""
room_number: str
room_type: RoomType
floor: int
status: RoomStatus
base_rate: Decimal
features: List[str]
bed_type: str
max_occupancy: int
square_feet: int
is_smoking: bool
@dataclass
class Reservation:
"""Guest reservation"""
reservation_id: str
guest_name: str
guest_email: str
guest_phone: str
room_type: RoomType
check_in_date: date
check_out_date: date
num_adults: int
num_children: int
status: ReservationStatus
rate_per_night: Decimal
total_amount: Decimal
special_requests: str
created_at: datetime
booking_source: str # 'direct', 'ota', 'phone', etc.
assigned_room: Optional[str]
@dataclass
class Folio:
"""Guest folio (bill)"""
folio_id: str
reservation_id: str
room_number: str
guest_name: str
charges: List[Dict]
total_charges: Decimal
payments: List[Dict]
balance: Decimal
class PropertyManagementSystem:
"""Hotel property management system"""
def __init__(self):
self.rooms = {}
self.reservations = {}
self.folios = {}
self.guests = {}
def create_reservation(self, reservation_data: dict) -> Reservation:
"""Create new reservation"""
reservation_id = self._generate_reservation_id()
# Calculate total amount
check_in = reservation_data['check_in_date']
check_out = reservation_data['check_out_date']
num_nights = (check_out - check_in).days
rate_per_night = Decimal(str(reservation_data['rate_per_night']))
total_amount = rate_per_night * num_nights
reservation = Reservation(
reservation_id=reservation_id,
guest_name=reservation_data['guest_name'],
guest_email=reservation_data['guest_email'],
guest_phone=reservation_data['guest_phone'],
room_type=RoomType(reservation_data['room_type']),
check_in_date=check_in,
check_out_date=check_out,
num_adults=reservation_data['num_adults'],
num_children=reservation_data.get('num_children', 0),
status=ReservationStatus.CONFIRMED,
rate_per_night=rate_per_night,
total_amount=total_amount,
special_requests=reservation_data.get('special_requests', ''),
created_at=datetime.now(),
booking_source=reservation_data.get('booking_source', 'direct'),
assigned_room=None
)
self.reservations[reservation_id] = reservation
return reservation
def check_in_guest(self, reservation_id: str) -> dict:
"""Process guest check-in"""
reservation = self.reservations.get(reservation_id)
if not reservation:
return {'error': 'Reservation not found'}
# Find available room of requested type
available_room = self._find_available_room(
reservation.room_type,
reservation.check_in_date,
reservation.check_out_date
)
if not available_room:
return {'error': 'No rooms available of requested type'}
# Assign room
reservation.assigned_room = available_room.room_number
reservation.status = ReservationStatus.CHECKED_IN
# Update room status
available_room.status = RoomStatus.OCCUPIED_CLEAN
# Create folio
folio = self._create_folio(reservation, available_room)
return {
'reservation_id': reservation_id,
'room_number': available_room.room_number,
'guest_name': reservation.guest_name,
'check_in_time': datetime.now().isoformat(),
'check_out_date': reservation.check_out_date.isoformat(),
'folio_id': folio.folio_id
}
def check_out_guest(self, reservation_id: str) -> dict:
"""Process guest check-out"""
reservation = self.reservations.get(reservation_id)
if not reservation:
return {'error': 'Reservation not found'}
# Get folio
folio = next(
(f for f in self.folios.values() if f.reservation_id == reservation_id),
None
)
if not folio:
return {'error': 'Folio not found'}
# Check for outstanding balance
if folio.balance > 0:
return {
'error': 'Outstanding balance',
'balance_due': float(folio.balance)
}
# Update reservation status
reservation.status = ReservationStatus.CHECKED_OUT
# Update room status
if reservation.assigned_room:
room = self.rooms.get(reservation.assigned_room)
if room:
room.status = RoomStatus.VACANT_DIRTY
return {
'reservation_id': reservation_id,
'guest_name': reservation.guest_name,
'check_out_time': datetime.now().isoformat(),
'total_charges': float(folio.total_charges),
'folio_summary': {
'room_charges': float(folio.total_charges),
'payments_received': float(folio.total_charges - folio.balance)
}
}
def _find_available_room(self,
room_type: RoomType,
check_in: date,
check_out: date) -> Optional[Room]:
"""Find available room of specified type"""
for room in self.rooms.values():
if room.room_type != room_type:
continue
if room.status not in [RoomStatus.VACANT_CLEAN, RoomStatus.VACANT_DIRTY]:
continue
# Check if room is available for date range
if self._is_room_available(room.room_number, check_in, check_out):
return room
return None
def _is_room_available(self, room_number: str, check_in: date, check_out: date) -> bool:
"""Check if room is available for date range"""
for reservation in self.reservations.values():
if reservation.assigned_room != room_number:
continue
if reservation.status in [ReservationStatus.CANCELLED, ReservationStatus.NO_SHOW]:
continue
# Check for date overlap
if not (check_out <= reservation.check_in_date or check_in >= reservation.check_out_date):
return False
return True
def _create_folio(self, reservation: Reservation, room: Room) -> Folio:
"""Create guest folio"""
folio_id = self._generate_folio_id()
# Calculate room charges
num_nights = (reservation.check_out_date - reservation.check_in_date).days
room_charge = reservation.rate_per_night * num_nights
charges = [{
'date': datetime.now(),
'description': f'Room {room.room_number} - {num_nights} nights',
'amount': float(room_charge)
}]
folio = Folio(
folio_id=folio_id,
reservation_id=reservation.reservation_id,
room_number=room.room_number,
guest_name=reservation.guest_name,
charges=charges,
total_charges=room_charge,
payments=[],
balance=room_charge
)
self.folios[folio_id] = folio
return folio
def post_charge(self, folio_id: str, charge_data: dict) -> dict:
"""Post charge to guest folio"""
folio = self.folios.get(folio_id)
if not folio:
return {'error': 'Folio not found'}
charge = {
'date': datetime.now(),
'description': charge_data['description'],
'amount': float(Decimal(str(charge_data['amount'])))
}
folio.charges.append(charge)
folio.total_charges += Decimal(str(charge_data['amount']))
folio.balance += Decimal(str(charge_data['amount']))
return {
'folio_id': folio_id,
'charge_posted': charge,
'new_balance': float(folio.balance)
}
def process_payment(self, folio_id: str, payment_data: dict) -> dict:
"""Process payment for folio"""
folio = self.folios.get(folio_id)
if not folio:
return {'error': 'Folio not found'}
payment_amount = Decimal(str(payment_data['amount']))
if payment_amount > folio.balance:
return {'error': 'Payment exceeds balance'}
payment = {
'date': datetime.now(),
'payment_method': payment_data['payment_method'],
'amount': float(payment_amount)
}
folio.payments.append(payment)
folio.balance -= payment_amount
return {
'folio_id': folio_id,
'payment_processed': payment,
'remaining_balance': float(folio.balance)
}
def get_room_availability(self, check_in: date, check_out: date) -> dict:
"""Get room availability for date range"""
availability = {}
for room_type in RoomType:
available_count = 0
for room in self.rooms.values():
if room.room_type == room_type:
if self._is_room_available(room.room_number, check_in, check_out):
available_count += 1
availability[room_type.value] = available_count
return {
'check_in_date': check_in.isoformat(),
'check_out_date': check_out.isoformat(),
'availability': availability
}
def _generate_reservation_id(self) -> str:
import uuid
return f"RES-{uuid.uuid4().hex[:10].upper()}"
def _generate_folio_id(self) -> str:
import uuid
return f"FOL-{uuid.uuid4().hex[:8].upper()}"Revenue Management System
收益管理系统
python
import numpy as np
class RevenueManagementSystem:
"""Hotel revenue management and dynamic pricing"""
def __init__(self):
self.pricing_rules = []
self.demand_forecast = {}
def calculate_dynamic_rate(self,
room_type: RoomType,
check_in_date: date,
days_until_arrival: int,
current_occupancy: float,
historical_data: dict) -> Decimal:
"""Calculate dynamic room rate"""
# Base rate
base_rates = {
RoomType.STANDARD: Decimal('150'),
RoomType.DELUXE: Decimal('200'),
RoomType.SUITE: Decimal('350'),
RoomType.EXECUTIVE: Decimal('450')
}
base_rate = base_rates.get(room_type, Decimal('150'))
# Demand multiplier based on occupancy
if current_occupancy > 0.85:
demand_multiplier = Decimal('1.30') # High demand
elif current_occupancy > 0.70:
demand_multiplier = Decimal('1.15') # Moderate demand
elif current_occupancy > 0.50:
demand_multiplier = Decimal('1.00') # Normal
else:
demand_multiplier = Decimal('0.85') # Low demand
# Booking window multiplier
if days_until_arrival < 7:
window_multiplier = Decimal('1.20') # Last minute
elif days_until_arrival < 14:
window_multiplier = Decimal('1.10')
elif days_until_arrival > 60:
window_multiplier = Decimal('0.90') # Early bird
else:
window_multiplier = Decimal('1.00')
# Day of week adjustment
if check_in_date.weekday() in [4, 5]: # Friday, Saturday
day_multiplier = Decimal('1.25')
elif check_in_date.weekday() == 6: # Sunday
day_multiplier = Decimal('0.95')
else:
day_multiplier = Decimal('1.00')
# Calculate final rate
dynamic_rate = base_rate * demand_multiplier * window_multiplier * day_multiplier
# Round to nearest dollar
dynamic_rate = dynamic_rate.quantize(Decimal('1'))
return dynamic_rate
def forecast_demand(self, start_date: date, days: int) -> dict:
"""Forecast demand for upcoming period"""
forecast = {}
for i in range(days):
forecast_date = start_date + timedelta(days=i)
# Simplified demand forecast
# In production, would use ML models
base_demand = 70.0 # 70% base occupancy
# Day of week factor
if forecast_date.weekday() in [4, 5]: # Weekend
day_factor = 15
elif forecast_date.weekday() == 6:
day_factor = -10
else:
day_factor = 0
# Seasonality factor (simplified)
month = forecast_date.month
if month in [6, 7, 8]: # Summer
season_factor = 10
elif month in [12, 1]: # Holiday season
season_factor = 15
else:
season_factor = 0
forecasted_occupancy = base_demand + day_factor + season_factor
forecasted_occupancy = min(100, max(0, forecasted_occupancy))
forecast[forecast_date.isoformat()] = {
'date': forecast_date.isoformat(),
'forecasted_occupancy': forecasted_occupancy,
'confidence': 'high' if i < 14 else 'medium' if i < 30 else 'low'
}
return forecast
def optimize_inventory(self, total_rooms: int, date_range: tuple) -> dict:
"""Optimize room inventory allocation"""
# Allocate rooms across different channels
# Direct bookings, OTAs, corporate contracts, etc.
allocation = {
'direct': int(total_rooms * 0.40), # 40% direct
'ota': int(total_rooms * 0.35), # 35% OTAs
'corporate': int(total_rooms * 0.15), # 15% corporate
'walk_in': int(total_rooms * 0.10) # 10% walk-ins
}
return {
'total_rooms': total_rooms,
'allocation': allocation,
'date_range': {
'start': date_range[0].isoformat(),
'end': date_range[1].isoformat()
}
}
def calculate_revpar(self, revenue: Decimal, available_rooms: int) -> Decimal:
"""Calculate Revenue Per Available Room"""
if available_rooms == 0:
return Decimal('0')
revpar = revenue / available_rooms
return revpar.quantize(Decimal('0.01'))
def calculate_adr(self, revenue: Decimal, rooms_sold: int) -> Decimal:
"""Calculate Average Daily Rate"""
if rooms_sold == 0:
return Decimal('0')
adr = revenue / rooms_sold
return adr.quantize(Decimal('0.01'))python
import numpy as np
class RevenueManagementSystem:
"""Hotel revenue management and dynamic pricing"""
def __init__(self):
self.pricing_rules = []
self.demand_forecast = {}
def calculate_dynamic_rate(self,
room_type: RoomType,
check_in_date: date,
days_until_arrival: int,
current_occupancy: float,
historical_data: dict) -> Decimal:
"""Calculate dynamic room rate"""
# Base rate
base_rates = {
RoomType.STANDARD: Decimal('150'),
RoomType.DELUXE: Decimal('200'),
RoomType.SUITE: Decimal('350'),
RoomType.EXECUTIVE: Decimal('450')
}
base_rate = base_rates.get(room_type, Decimal('150'))
# Demand multiplier based on occupancy
if current_occupancy > 0.85:
demand_multiplier = Decimal('1.30') # High demand
elif current_occupancy > 0.70:
demand_multiplier = Decimal('1.15') # Moderate demand
elif current_occupancy > 0.50:
demand_multiplier = Decimal('1.00') # Normal
else:
demand_multiplier = Decimal('0.85') # Low demand
# Booking window multiplier
if days_until_arrival < 7:
window_multiplier = Decimal('1.20') # Last minute
elif days_until_arrival < 14:
window_multiplier = Decimal('1.10')
elif days_until_arrival > 60:
window_multiplier = Decimal('0.90') # Early bird
else:
window_multiplier = Decimal('1.00')
# Day of week adjustment
if check_in_date.weekday() in [4, 5]: # Friday, Saturday
day_multiplier = Decimal('1.25')
elif check_in_date.weekday() == 6: # Sunday
day_multiplier = Decimal('0.95')
else:
day_multiplier = Decimal('1.00')
# Calculate final rate
dynamic_rate = base_rate * demand_multiplier * window_multiplier * day_multiplier
# Round to nearest dollar
dynamic_rate = dynamic_rate.quantize(Decimal('1'))
return dynamic_rate
def forecast_demand(self, start_date: date, days: int) -> dict:
"""Forecast demand for upcoming period"""
forecast = {}
for i in range(days):
forecast_date = start_date + timedelta(days=i)
# Simplified demand forecast
# In production, would use ML models
base_demand = 70.0 # 70% base occupancy
# Day of week factor
if forecast_date.weekday() in [4, 5]: # Weekend
day_factor = 15
elif forecast_date.weekday() == 6:
day_factor = -10
else:
day_factor = 0
# Seasonality factor (simplified)
month = forecast_date.month
if month in [6, 7, 8]: # Summer
season_factor = 10
elif month in [12, 1]: # Holiday season
season_factor = 15
else:
season_factor = 0
forecasted_occupancy = base_demand + day_factor + season_factor
forecasted_occupancy = min(100, max(0, forecasted_occupancy))
forecast[forecast_date.isoformat()] = {
'date': forecast_date.isoformat(),
'forecasted_occupancy': forecasted_occupancy,
'confidence': 'high' if i < 14 else 'medium' if i < 30 else 'low'
}
return forecast
def optimize_inventory(self, total_rooms: int, date_range: tuple) -> dict:
"""Optimize room inventory allocation"""
# Allocate rooms across different channels
# Direct bookings, OTAs, corporate contracts, etc.
allocation = {
'direct': int(total_rooms * 0.40), # 40% direct
'ota': int(total_rooms * 0.35), # 35% OTAs
'corporate': int(total_rooms * 0.15), # 15% corporate
'walk_in': int(total_rooms * 0.10) # 10% walk-ins
}
return {
'total_rooms': total_rooms,
'allocation': allocation,
'date_range': {
'start': date_range[0].isoformat(),
'end': date_range[1].isoformat()
}
}
def calculate_revpar(self, revenue: Decimal, available_rooms: int) -> Decimal:
"""Calculate Revenue Per Available Room"""
if available_rooms == 0:
return Decimal('0')
revpar = revenue / available_rooms
return revpar.quantize(Decimal('0.01'))
def calculate_adr(self, revenue: Decimal, rooms_sold: int) -> Decimal:
"""Calculate Average Daily Rate"""
if rooms_sold == 0:
return Decimal('0')
adr = revenue / rooms_sold
return adr.quantize(Decimal('0.01'))Guest Services Management
宾客服务管理
python
@dataclass
class GuestRequest:
"""Guest service request"""
request_id: str
reservation_id: str
room_number: str
guest_name: str
request_type: str # 'housekeeping', 'maintenance', 'concierge', 'amenity'
description: str
priority: str # 'low', 'medium', 'high'
status: str # 'open', 'in_progress', 'completed'
created_at: datetime
assigned_to: Optional[str]
completed_at: Optional[datetime]
class GuestServicesSystem:
"""Guest services and experience management"""
def __init__(self):
self.requests = []
self.guest_preferences = {}
self.loyalty_members = {}
def submit_guest_request(self, request_data: dict) -> GuestRequest:
"""Submit guest service request"""
request = GuestRequest(
request_id=self._generate_request_id(),
reservation_id=request_data['reservation_id'],
room_number=request_data['room_number'],
guest_name=request_data['guest_name'],
request_type=request_data['request_type'],
description=request_data['description'],
priority=request_data.get('priority', 'medium'),
status='open',
created_at=datetime.now(),
assigned_to=None,
completed_at=None
)
self.requests.append(request)
# Auto-assign based on request type
self._auto_assign_request(request)
return request
def track_guest_preferences(self, guest_id: str, preferences: dict):
"""Track guest preferences for personalization"""
self.guest_preferences[guest_id] = {
'room_preferences': {
'floor': preferences.get('preferred_floor'),
'bed_type': preferences.get('bed_type'),
'view': preferences.get('view_preference')
},
'amenities': preferences.get('amenities', []),
'dietary_restrictions': preferences.get('dietary_restrictions', []),
'special_occasions': preferences.get('special_occasions', {}),
'communication_preference': preferences.get('communication', 'email')
}
def calculate_guest_satisfaction_score(self, reservation_id: str) -> dict:
"""Calculate guest satisfaction metrics"""
# Simulate guest satisfaction score
# In production, would be based on surveys and feedback
metrics = {
'overall_satisfaction': 4.5, # Out of 5
'check_in_experience': 4.7,
'room_quality': 4.3,
'staff_friendliness': 4.8,
'cleanliness': 4.6,
'value_for_money': 4.2,
'likelihood_to_recommend': 9.0 # NPS score (0-10)
}
return {
'reservation_id': reservation_id,
'satisfaction_metrics': metrics,
'nps_category': 'promoter' if metrics['likelihood_to_recommend'] >= 9 else
'passive' if metrics['likelihood_to_recommend'] >= 7 else
'detractor'
}
def _auto_assign_request(self, request: GuestRequest):
"""Auto-assign request to staff"""
# Would implement smart assignment logic
assignments = {
'housekeeping': 'housekeeping_team',
'maintenance': 'maintenance_team',
'concierge': 'concierge_team',
'amenity': 'front_desk'
}
request.assigned_to = assignments.get(request.request_type, 'front_desk')
def _generate_request_id(self) -> str:
import uuid
return f"REQ-{uuid.uuid4().hex[:8].upper()}"python
@dataclass
class GuestRequest:
"""Guest service request"""
request_id: str
reservation_id: str
room_number: str
guest_name: str
request_type: str # 'housekeeping', 'maintenance', 'concierge', 'amenity'
description: str
priority: str # 'low', 'medium', 'high'
status: str # 'open', 'in_progress', 'completed'
created_at: datetime
assigned_to: Optional[str]
completed_at: Optional[datetime]
class GuestServicesSystem:
"""Guest services and experience management"""
def __init__(self):
self.requests = []
self.guest_preferences = {}
self.loyalty_members = {}
def submit_guest_request(self, request_data: dict) -> GuestRequest:
"""Submit guest service request"""
request = GuestRequest(
request_id=self._generate_request_id(),
reservation_id=request_data['reservation_id'],
room_number=request_data['room_number'],
guest_name=request_data['guest_name'],
request_type=request_data['request_type'],
description=request_data['description'],
priority=request_data.get('priority', 'medium'),
status='open',
created_at=datetime.now(),
assigned_to=None,
completed_at=None
)
self.requests.append(request)
# Auto-assign based on request type
self._auto_assign_request(request)
return request
def track_guest_preferences(self, guest_id: str, preferences: dict):
"""Track guest preferences for personalization"""
self.guest_preferences[guest_id] = {
'room_preferences': {
'floor': preferences.get('preferred_floor'),
'bed_type': preferences.get('bed_type'),
'view': preferences.get('view_preference')
},
'amenities': preferences.get('amenities', []),
'dietary_restrictions': preferences.get('dietary_restrictions', []),
'special_occasions': preferences.get('special_occasions', {}),
'communication_preference': preferences.get('communication', 'email')
}
def calculate_guest_satisfaction_score(self, reservation_id: str) -> dict:
"""Calculate guest satisfaction metrics"""
# Simulate guest satisfaction score
# In production, would be based on surveys and feedback
metrics = {
'overall_satisfaction': 4.5, # Out of 5
'check_in_experience': 4.7,
'room_quality': 4.3,
'staff_friendliness': 4.8,
'cleanliness': 4.6,
'value_for_money': 4.2,
'likelihood_to_recommend': 9.0 # NPS score (0-10)
}
return {
'reservation_id': reservation_id,
'satisfaction_metrics': metrics,
'nps_category': 'promoter' if metrics['likelihood_to_recommend'] >= 9 else
'passive' if metrics['likelihood_to_recommend'] >= 7 else
'detractor'
}
def _auto_assign_request(self, request: GuestRequest):
"""Auto-assign request to staff"""
# Would implement smart assignment logic
assignments = {
'housekeeping': 'housekeeping_team',
'maintenance': 'maintenance_team',
'concierge': 'concierge_team',
'amenity': 'front_desk'
}
request.assigned_to = assignments.get(request.request_type, 'front_desk')
def _generate_request_id(self) -> str:
import uuid
return f"REQ-{uuid.uuid4().hex[:8].upper()}"Best Practices
最佳实践
Reservations Management
预订管理
- Implement real-time availability
- Use channel manager for distribution
- Enable mobile booking
- Implement flexible cancellation policies
- Send automated confirmations
- Track booking sources
- Enable group bookings
- 实现实时房态查询
- 使用渠道管理器进行分销
- 支持移动端预订
- 灵活的取消政策
- 发送自动确认信息
- 追踪预订来源
- 支持团体预订
Revenue Management
收益管理
- Implement dynamic pricing
- Monitor competitor rates
- Forecast demand accurately
- Optimize inventory allocation
- Track RevPAR and ADR
- Use yield management strategies
- Analyze booking patterns
- 实施动态定价
- 监控竞争对手价格
- 精准预测需求
- 优化库存分配
- 追踪RevPAR和ADR指标
- 采用收益管理策略
- 分析预订模式
Guest Experience
宾客体验
- Personalize guest interactions
- Enable mobile check-in/out
- Provide digital concierge services
- Track guest preferences
- Respond promptly to requests
- Implement loyalty programs
- Gather feedback systematically
- 个性化宾客互动
- 支持移动端入住/退房
- 提供数字礼宾服务
- 追踪宾客偏好
- 及时响应请求
- 实施忠诚度计划
- 系统收集反馈
Operations
运营管理
- Maintain housekeeping efficiency
- Implement preventive maintenance
- Use automated messaging
- Monitor room status in real-time
- Optimize staff scheduling
- Track operational metrics
- Ensure PCI-DSS compliance
- 提升客房清洁效率
- 实施预防性维护
- 使用自动化消息推送
- 实时监控房态
- 优化员工排班
- 追踪运营指标
- 确保PCI-DSS合规
Anti-Patterns
反模式
❌ Manual reservation management
❌ Static pricing year-round
❌ No guest preference tracking
❌ Poor channel management
❌ Slow response to guest requests
❌ No mobile capabilities
❌ Inadequate staff training
❌ Poor data security
❌ No revenue analytics
❌ 手动管理预订
❌ 全年静态定价
❌ 不追踪宾客偏好
❌ 渠道管理混乱
❌ 响应宾客请求迟缓
❌ 无移动功能支持
❌ 员工培训不足
❌ 数据安全措施不到位
❌ 无收益分析
Resources
参考资源
- HTNG (Hotel Technology Next Generation): https://htng.org/
- HSMAI (Hospitality Sales and Marketing Association): https://www.hsmai.org/
- AHLA (American Hotel & Lodging Association): https://www.ahla.com/
- STR (Hotel data and analytics): https://str.com/
- OpenTravel Alliance: https://opentravel.org/
- Hospitality Technology: https://www.hospitalitytech.com/
- Revenue Management Best Practices: https://www.revparguru.com/
- HTNG(酒店科技下一代标准):https://htng.org/
- HSMAI(酒店销售与营销协会):https://www.hsmai.org/
- AHLA(美国酒店与住宿协会):https://www.ahla.com/
- STR(酒店数据与分析平台):https://str.com/
- OpenTravel Alliance:https://opentravel.org/
- 酒店科技网:https://www.hospitalitytech.com/
- 收益管理最佳实践:https://www.revparguru.com/