Sales Forecasts
This report showcases a predictive forecasting model for vehicle auction sales and revenue. Utilizing synthetic sales data from 2014 and 2015 as a baseline, the model generates a comprehensive forecast for the 2016 calendar year, projecting key metrics like total sales and revenue. It offers a clear, interactive example of how historical data can be leveraged to anticipate future market performance.
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Visualize: The direct output of the forecast model. Compare projected 2016 vehicle sales and revenue against the actual performance from 2014-2015
Analyze: The underlying trends and patterns in the historical data that inform the forecast. Understand the practical application of a time-series model for strategic planning and decision-making
Audience: Business Leaders, Data Analysts, Operations Managers, Hiring Managers
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Primary data source: An adjusted version of data from https://www.kaggle.com/datasets/syedanwarafridi/vehicle-sales-data run through a Python script to clean and expand on sales history for more consistent 2014-2015 history.
Volvo
Focusing on Volvo's global and U.S sales performance of model segments (e.g., SUVs, sedans), this analyzes sales trends from 2015 to present, offering high-level insight into Volvo's market position and growth trajectory.
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Monitor: overall brand strength, areas of growth/decline in models and segments
Analyze: U.S. sales performance in the context of global sales trends with historical content to recognize long-term sales patterns and emerging trends
Audience: Volvo Sales Teams, Regional Managers, Market Analysts, Investors
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Genesis
An overview of Genesis' sales performance in the U.S., with a particular focus on the G70 sports sedan and its competitive landscape.
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Monitor: Overall Brand Strength, Model Performance, G70 Competitive Analysis, Sales Trends, and Historical Context
Audience: Genesis Sales and Operations Teams, Dealership Partners, Industry Analysts and Investors
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Actual revenue figures and class-specific sales count of each model is unavailable so assumptions were made based on MSRP
Primary data source: GoodCarBadCar