Transforming Iberostar’s check-in experience with AI-powered room assignment

To solve this, Konecta implemented an AI-powered decision engine backed by digital twin simulation. Instead of relying on manual spreadsheets, optimization agents now evaluate thousands of room allocation scenarios in real time to assign the best possible room configuration.

To make this engine highly accurate and empathetic to guest needs, Konecta structured the foundational data using smart variables:

• A distance matrix maps out room numbers, floors, and the physical distances between buildings using map coordinates.
• A semantic comparison tool identified similar bookings to ensure that families and friends are placed in close proximity to each other.

The AI evaluates scenarios in a two-step process: first, it prioritizes keeping related guests close together by minimizing physical distance; then, using that configuration, it optimizes the entire board to actively reduce guest wait times. The system is programmed to automatically sideline mathematically impossible requests, ensuring the rest of the hotel's operations run without disruption.

By replacing manual guesswork with an automated, multi-objective model, the hotel entirely transformed its daily operations. The system now runs without staff intervention, allowing the team to dedicate their time to direct guest care rather than back-office logistics. The real-world impact was clearly demonstrated during the peak occupancy months of July and August:

• Guest wait times were slashed by 65%
• Families and group travelers enjoyed a better experience, with the average distance between linked bookings improving by 10%.

The shift to automated allocation drove an  improvement in overall guest experience, proving that complex data models can directly translate into warmer, more human hospitality.