CASE STUDY — HOSPITALITY & BEYOND
Demand Forecasting
Predict demand and forecast revenue across every location
Sector:
Hospitality & Beyond
Focus:
Demand & Revenue Forecasting
BUSINESS CHALLENGE
Lack of accurate demand forecasting causing missed opportunities
A lack of accurate demand forecasting was impacting the ability to anticipate shifts in demand and market conditions across locations, resulting in resource misallocation and missed opportunities to align with evolving needs.
SOLUTION IMPLEMENTED
A centralized platform predicting demand by location
Implemented a solution to extract, clean, unify, and visualize data from multiple sources, storing it in a centralized database for management and analysis. AI models were deployed to predict demand by location, enhancing forecasting accuracy.
TECHNOLOGY
Built to unify, forecast, and visualize demand across locations
DATA PLATFORM
Azure SQL & Data Factory
Extracts, cleans, and unifies data from multiple sources, storing it in a centralized database to support robust data management.
SERVING
Power BI
Powers interactive dashboards visualizing both actual and forecasted data, tailored to unique departmental needs.
AI
Azure Machine Learning
Predicts revenues and costs by location, enhancing the accuracy and reliability of financial forecasting.
Results & ROI
What changed once the platform went live
FORECAST
Achieved a forecast accuracy of less than 10% MAPE across all locations over one year.
AUTOMATION
Every part of the project is automated and fully managed, streamlining processes and reducing manual effort.
EFFICIENCY
Enhanced operational efficiency through integrated pipelines, including Data Factory, MLOpse Power BI CI/CD.
