Stronger Forecasts and Smarter Decisions at Ibis Rio de Janeiro Parque Olímpico

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Client

Hotel Type

Enterprise/Chain/Group

Region

Americas

Challenges Icon

Challenges

  • Time-intensive, manual forecasting
  • Limited visibility into true unconstrained demand
  • Slow reaction to market changes
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Solution

  • G3 RMS
Results Icon

Results

  • RevPAR increased 36% YOY
  • Occupancy increased 6%
  • 3–6 hours per week reclaimed for more strategic work

The Story

As market dynamics became more complex, the team Ibis Rio de Janeiro Parque Olímpico—a 256-room economy hotel—required greater speed, precision, and consistency in how revenue decisions were made. Manual revenue management processes could no longer support the hotel’s evolving needs or growth ambitions.

“We understood that continuing without an RMS meant operating below the hotel’s potential,” said Ruan Felix Bitencourt, Revenue Manager for Ibis Rio de Janeiro Parque Olímpico and three additional Accor properties in Brazil. “The implementation of IDeaS was seen not as a cost, but as a strategic investment for sustainable growth.”

Manual Methods and Missed Opportunities

Before adopting IDeaS, the hotel relied on historical analysis, spreadsheets, and PMS reports to guide decisions. While functional, this approach limited the team’s ability to anticipate true demand and made it difficult to react quickly to market shifts.

Forecasting was largely backward-looking, relying on the analysis of historical patterns, past performance, and gut-feeling projections to roughly anticipate future results. As a result, segmentation strategies were less precise, and pricing decisions depended heavily on individual expertise rather than real-time market data or predictive analytics.

“Without advanced demand forecasts, we sometimes couldn’t fully capture high-demand opportunities,” Bitencourt explained.

The operational burden was also significant, with time spent on data consolidation, repetitive analysis, and manual monitoring—reducing the ability to focus on higher-value strategy.

Introducing Data-Led Precision

To address these challenges, the hotel implemented IDeaS G3 RMS to bring advanced forecasting, pricing insight, and consistency to decision-making, while keeping the revenue team firmly in control.

The system provides data-driven recommendations based on demand patterns, booking behaviour, and market conditions, supporting faster and more informed decisions. Key capabilities included price optimisation, group displacement analysis, and continuously improving forecast accuracy.

IDeaS G3 RMS transformed revenue management from a reactive function into a predictive, data-driven strategy.

– Ruan Felix Bitencourt, Revenue Manager for Ibis Rio de Janeiro Parque Olímpico

Results and Conclusion

Within the first year, Ibis Rio de Janeiro Parque Olímpico saw measurable gains. RevPAR increased by 36%, and occupancy rose by six percentage points, alongside meaningful improvements in forecast accuracy.

The team also reduced time spent on manual work by up to six hours per week, allowing greater focus on strategic planning and alignment across departments.

“The system handles the computational complexity,” Bitencourt noted. “It didn’t replace our expertise—it elevated it.”

With stronger forecasting, more confident pricing, and improved efficiency, the hotel is capturing more of the revenue opportunities that were previously out of reach.

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