MetroEngines Inc., a provider of revenue management tools for the hospitality industry, will host two free online seminars on Tuesday, May 12 and Thursday, May 14, 2026. In addition to introducing the company’s system, attendees will receive a complimentary “Pricing Diagnosis Report” exclusively for participants.
MetroEngines offers a revenue management system that combines external data—such as competitor rates and event information—with a property’s own sales performance to recommend optimal pricing for each room. A key feature is its integration with site controllers, enabling fully automated rate distribution to OTAs.
In the hospitality industry, pricing must reflect demand fluctuations and competitive positioning, yet it remains difficult to objectively assess whether a property’s rates are appropriate. Many operators still rely heavily on experience and intuition, underscoring the growing importance of data-driven pricing strategy.
Against this backdrop, the upcoming webinars will explain how to leverage demand forecasting and competitor data for price optimization. The accompanying Pricing Diagnosis Report visualizes a property’s positioning relative to competitors in terms of rates and occupancy, as well as the validity of its pricing relative to demand—offering insights for understanding the current state and identifying areas for improvement.
The seminars cover a wide range of topics, from the fundamentals of revenue management to practical applications, and are designed for hotel operators considering a review of their pricing strategy.
Sample Report Image
(Source: MetroEngines Inc.)
Webinar Overview
Title: MetroEngines Revenue System Introduction Webinar
Date & Time: Tuesday, May 12, 2026, 14:00–15:00
Thursday, May 14, 2026, 15:00–16:00
Fee: Free
Audience: Hotel and accommodation industry professionals
*Participants must be from the hospitality industry; others are not eligible.
*Applications using free email addresses (e.g., Gmail) may be declined for security reasons.
Capacity: 100 attendees per session (selected by lottery if oversubscribed)
Format: Live streaming via Zoom (viewing instructions sent after registration)
Registration: https://forms.gle/AQCeVm7RuKx4FRDG7
Topics Covered
– Overview of the revenue management system
– “MetroTrail” event detection feature
– Contents of the Pricing Diagnosis Report
Recommended For
– Those who feel pricing decisions rely too heavily on individual expertise
– Those interested in operational efficiency through AI
– Those looking to revise pricing strategies in line with market conditions
– Those considering the introduction of a revenue management tool
(Source: MetroEngines Inc.)
About “MetroEngines Revenue Management“
A revenue management tool that leverages big data and AI to provide integrated support across demand forecasting, pricing, and post-sale analysis. By automating everything from data collection to rate updates, it standardizes pricing decisions—often dependent on individual expertise—and maximizes revenue. The company is also expanding into other industries, including rental cars and airlines.
The service offers two plans: the “Plus Plan,” which determines pricing through rules or AI based on external data and inventory status, and the “Pro Plan,” which integrates with both site controllers and PMS to incorporate a wider range of data. The Plus Plan factors in the property’s own occupancy rate to support flexible pricing aligned with demand, while the Pro Plan enables more advanced data integration for optimal pricing, with comprehensive customization and post-implementation support.
(Source: MetroEngines Inc.)
The company also provides “MetroTrail,” a service that supports demand fluctuation detection and price adjustments. It detects sudden surges in accommodation demand caused by live events, major announcements, or peak seasons, helping prevent delays in price adjustments. By integrating with site controllers, it monitors reservation volumes regularly and issues alerts when signs of a demand surge are detected.
Furthermore, when an increase in demand is detected, the system automatically suggests an optimal rate tier, and depending on settings, can even adjust prices automatically. This helps prevent missed opportunities such as “selling out at low rates before realizing demand had spiked.”