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Occupancy forecasting
The need:
Improved forecasts accuracy of hotel occupancy.
Increase efficiency, save time and resources.
Improve decision making regarding pricing, capacity, resource allocation for better financial performance and customer satisfaction.
Enhance competitiveness.
The solution:
Custom AI models
Azure Machine Learning for managing the ML lifecycle
Azure Data Factory to get the needed data from their Oracle on-premises database and to store predictions.
The ROI:
Elaborating manual predictions is a long time-consuming task
Get predictions more often
Get insights of trend to better manage the requirements
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