HTRの月刊ニュースレター、theRewindで、ホテルの最新技術のヒント、トレンド、洞察を把握してください。
アコー、マリオット、バイスロイ、シャングリラ、ローズウッド、エクスペディア、AirBnBなどのトップブランドの50,237人のエグゼクティブに参加して、最新のイノベーションと洞察を月に1回受信トレイに届けましょう。
Operations で人気
2025 年の最高の Property Management Systems
Your hotel's core operating system to effortlessly manage bookings, guest experiences, and operations.
2025 年の最高の Staff Collaboration Tools
Enhance team collaboration with real-time messaging, task sharing, and centralized updates across departments.
2025 年の最高の Hotel Accounting Software
Tools to manage your hotel's accounting, budgeting and financial planning.
Revenue Management で人気
2025 年の最高の Revenue Management Systems
Maximize revenue with dynamic pricing, demand forecasting, and automated data insights.
2025 年の最高の Channel Managers
Distribute your inventory to hundreds of channels to boost occupancy.
2025 年の最高の Business Intelligence
Say goodbye to spreadsheets and leverage modern BI tools to visualize your data and uncover hidden insights.
Marketing で人気
2025 年の最高の Hotel CRM & Email Marketing
Turn guest data into action with personalized offers, targeted communication, and automated workflows.
2025 年の最高の Booking Engine
The eCommerce shopping cart for your hotel's website.
2025 年の最高の Hotel Metasearch Management Software
Setup, manage and optimize advertising campaigns across channels to drive direct bookings.
Guest Experience で人気
2025 年の最高の Hotel Guest Apps
Enhance stays with a guest app offering amenities info, messaging, mobile ordering, and upsell opportunities.
2025 年の最高の Contactless Check-in
Empower guests with easy online check-in, personalized room access, and seamless upsell promotions.
2025 年の最高の Guest Messaging Software
Connect with guests instantly through real-time messaging, automated responses, and seamless communication.
REVENUE MANAGEMENT
The Neighborhood Hotel’s Journey to 75%+ Occupancy through PriceLabs’ Minimum Stay Rules
Discover how PriceLabs’ dynamic pricing and advanced features helped The Neighborhood Hotel overcome seasonality challenges and maximize revenue without compromising guest experience.
Managing Seasonality Fluctuations: With peaks in summer and significant drops in winter, especially in Southwest Michigan, balancing occupancy and revenue was complex.
Length of Stay Optimization: Determining the optimal minimum stay requirements was difficult. Initially, strict minimum stays led to lost occupancy.
Automating Pricing Adjustments: Adjusting rates and stay requirements without advanced tools was time-consuming and ineffective, making it hard to respond quickly to market changes. Hence, automation was a core objective.