Analysis and proposed forecasting solution for Vail Resorts, Inc.
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Project URL : https://docs.google.com/document/d/1xh65Avx0cjgObnLMHrC-unx3G4WDP5TwOTX0bkgoelU/edit?usp=sharing
Our project focused on developing a seasonal forecasting solution for Vail Resorts, Inc., addressing the challenge of extreme revenue fluctuations due to seasonality in the tourism and outdoor recreation industry. Using historical financial data, weather patterns, and economic indicators, we built predictive models to optimize capacity management, staffing, marketing strategies, and cost control. Our analysis showed that Vail Resorts generates up to 90% of its annual revenue in winter, while summer months yield significantly lower profits or even losses. By leveraging data analytics and forecasting tools, our model provides strategic insights to enhance operational efficiency and financial planning. Through this project, we gained valuable experience in data-driven decision-making, machine learning applications in business, and the impact of seasonality on financial performance.