CASE STUDY — HOSPITALITY & BEYOND
Previsión de la Demanda
Predict demand and forecast revenue across every location
Sector:
Hospitality & Beyond
Enfoque:
Demand & Revenue Forecasting
DESAFÍO EMPRESARIAL
Lack of accurate demand forecasting causing missed opportunities
Un lack of accurate demand forecasting was impacting the ability to anticipate shifts in demand y condiciones del mercado across locations, resulting in resource misallocation y missed opportunities to align with evolving needs.
SOLUCIÓN IMPLEMENTADA
A centralized platform predicting demand by location
Implemented a solution to extract, clean, unify, and visualize data from multiple sources, storing it in a sistema de base de datos centralizado for management and analysis. AI models were deployed to predict demand by location, enhancing forecasting accuracy.
TECNOLOGÍA
Built to unify, forecast, and visualize demand across locations
PLATAFORMA DE DATOS
Azure SQL & Data Factory
Extracts, cleans, and unifies data from multiple sources, storing it in a sistema de base de datos centralizado to support robust gestión de datos robusta.
ENTREGA DE DATOS
Power BI
Powers paneles interactivos visualizing both actual y forecasted data, tailored to unique departmental needs.
IA
Azure Machine Learning
Predicts revenues y costs by location, enhancing the accuracy y reliability of financial forecasting.
RESULTADOS Y ROI
Lo que cambió tras la puesta en marcha de la plataforma
FORECAST
Achieved a forecast accuracy of less than 10% MAPE across all locations over one year.
AUTOMATION
Every part of the project is automated y fully managed, streamlining processes and reducing manual effort.
EFICIENCIA
Mejoró los eficiencia operativa through integrated pipelines, including Data Factory, MLOps, y Power BI CI/CD.
