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Target Sector
Executives and revenue management professionals at lodging facilities, including hotels, ryokans, and glamping sites
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Usage Scenes(Usage/Recipies)
◆ When revenue improvement is needed
・Pricing decisions rely on individual staff members, taking too much time.
・It is difficult to determine the optimal rate quickly based on demand fluctuations.
・Revenue management depends heavily on intuition and experience, making consistent performance hard to achieve.
・Sudden changes in supply and demand often lead to missed revenue opportunities.
◆ When greater operational efficiency is required
・Want to significantly reduce daily rate-setting and rate-checking tasks.
・Too much time is spent researching competitor rates and local events.
・Revenue management processes are difficult to transfer, resulting in person-dependent operations.
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Specialities,Sales point
1. AI-driven optimal pricing for efficient revenue management
Automatically displays recommended rates based on demand forecasting, competitor pricing, and local events.
This helps reduce person-dependent pricing decisions and enables faster, more informed rate adjustments.
2. Significant reduction in daily pricing adjustments and research tasks
Streamlines time-consuming work such as entering room rates and analyzing competitor trends.
This reduces operational workload for hotel and lodging facility staff.
3. Proprietary “Boost Function” for sudden demand surges
Automatically adjusts prices in response to rapid demand changes—
such as transportation disruptions or last-minute event announcements—
helping you capture opportunities that might otherwise be missed.
