Hôtel des Arts Saigon – MGallery reported a 20% RevPAR uplift in Q4 2025 after seven months using IDeaS G3 RMS. Separately, IDeaS reported a 21.6% RevPAR increase and a 13.5% improvement in Revenue Generation Index (RGI) for the hotel’s first year with the system. These are supplier-announced case-study results, not independently verified proof that the software alone caused the changes.
What the RevPAR figures measure
The headline 20% figure refers specifically to the hotel’s Q4 2025 result after seven months using G3 RMS. The same IDeaS announcement gives two separate first-year measures: a 21.6% RevPAR increase and a 13.5% improvement in RGI. The figures describe different reporting periods and should not be combined or treated as interchangeable. IDeaS announcement via eHotelier, 28 September 2026.
RevPAR, or revenue per available room, relates room revenue to the number of rooms available; RGI, or Revenue Generation Index, compares a hotel’s RevPAR performance with its competitive market set. The announcement does not provide the underlying baseline values or calculation details needed to reproduce the reported changes.
Why the hotel changed its revenue-management process
Hôtel des Arts Saigon is a five-star luxury hotel in Ho Chi Minh City. Its official website lists the address as 76–78 Nguyen Thi Minh Khai and says the hotel opened in October 2015. Official Hôtel des Arts Saigon website and Accor’s MGallery listing.
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Before adopting G3 RMS, the hotel reportedly used a legacy revenue-management solution that required manual reviews and updates. IDeaS says those steps slowed pricing and restriction changes, making it harder for staff to react when demand shifted. Overbooking decisions also required hands-on attention.
Tram To, the hotel’s Director of Revenue & E-Commerce, described the delay this way: “When demand increased, it took time to review pricing, implement rate changes, and adjust restrictions. That delay sometimes meant missed opportunities.”
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How IDeaS says G3 RMS supported the new workflow
According to the announcement, G3 RMS generates pricing and restriction recommendations using demand signals. The case study also highlights Last Room Value (LRV)-driven yield decisions and automated overbooking management. These capabilities are presented as ways to help the team respond faster and reduce manual work; the article does not quantify the time saved.
To’s account of the change was: “IDeaS G3 RMS helps us respond quickly to market changes, so we don’t miss revenue opportunities.” IDeaS Managing Director for APAC Jurgen Ortelee said hotels in fast-growing urban destinations such as Ho Chi Minh City operate in a dynamic commercial environment where opportunities can emerge and disappear quickly.
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What the case study establishes—and what it does not
The announcement provides reported hotel outcomes and a description of the former and new workflows, but it is a supplier article presenting IDeaS’s claims rather than an independent audit. It does not include a baseline table, calculation method, comparison group, market adjustment, or separate occupancy and average-daily-rate results. That means readers cannot reproduce the calculations or isolate the software’s contribution from other factors that may have affected performance.
For hotel operators assessing an RMS, this case study is best read as an example of the workflow IDeaS says it supports, not as a vendor ranking or a guarantee of similar results. A practical evaluation should examine:
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- Whether property data is accurate, timely, and sufficiently detailed for forecasting.
- How the system handles pricing and restriction recommendations, and how staff review or override them.
- What inventory and overbooking controls are available.
- How the RMS integrates with the hotel’s existing systems.
- Implementation, training, support, and the effect on staff workload.
- Whether outcomes can be assessed over comparable periods, with clear definitions and relevant market context.
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