Hospitality

Sustainable technology to improve customer experience

We use artificial intelligence to improve the customer experience in the Hospitality industry.

Hospitality companies are adopting different measures to reduce their environmental impact. We help companies in this industry to improve their results with predictive maintenance of their facilities, dynamic price management, energy efficiency and environmental management, inventory and supply optimization.

Our solution oriented to the Hospitality industry has received the AI and Advanced Technologies 2023 award, by the Madrid City Council.

Our best practices

Inventory and supply optimization for the hospitality industry

We developed machine learning algorithms for inventory management, resulting in a 25% improvement in efficient management of resources.

Energy efficiency and environmental management

We facilitate real-time monitoring and optimization of energy systems with cost savings of 40% with the implementation of intelligent lighting, heating and cooling control systems, as well as process optimization.

Predictive maintenance of installations

We help reduce unplanned maintenance costs and minimize downtime through predictive maintenance, resulting in significant improvements in operational efficiency by 30%.

Diversity and inclusion

We use data analytics to assess diversity and inclusion in the hospitality workforce, identifying areas for improvement and developing strategies to foster a more inclusive and equitable work environment.

Personalized and responsive customer experience

We apply AI algorithms to analyze customer data, travel preferences, booking history and feedback to personalize experiences in a more sustainable way.

Transparency and ESG communication

We use Business Intelligence techniques to extract, analyze, transform and display data on the impact of the activity on ESG criteria, providing transparent information to stakeholders on sustainable practices and facilitating the reporting system of non-financial information.

Economic sustainability and dynamic price management

We implemented Artificial Intelligence algorithms for dynamic pricing management to increase revenue by adjusting rates according to real-time demand and local events, maximizing occupancy and revenue by 15%.

Reputation analysis

We use Business Intelligence techniques for the extraction and analysis of data from different sources such as booking channels (Booking and Expedia). We collect and analyze all digital information to understand user perception, customer satisfaction using sentiment analysis and reviews.