Highlights
Imagine that you are a pricing analyst who is helping a US petrol retailer to analyze its pricing strategies.
A sample of data was collected from two sites this retailer operated. You should write a business analytics report to help the client understand its pricing performance, demand structure, model the pricing decisions and provide insights into the pricing strategies.
The data in the excel file fuelpricingdata.xlsx shows Petrol sales in gallons and prices in dollars. The columns are as follows:
- Site (A and B)
- Date
- Weekday
- Vol – the volume in gallons of regular unleaded petrol sold at the site on that day
- Price – the price per gallon in dollars changed by that site
- AvgCompPrice – The average price charged by competitors to the site
- MinCompPrice – The lowest priced competitor to the site on the given day
- MaxCompPrice – The highest priced competitor to the site on the given day
The report should include the following parts.
Part I: Review retail petrol market. Use market data and the sample data to summarize the market dynamics and the dynamics of the sales and price of the underlying retailer.
One of the most of important and relevant market information is the spot price in the wholesale market. Some market information and data (e.g., US regular gasoline spot price) can be found in websites. You should be able to use summary statistics to provide descriptive analytics and insights for the pricing data, and ask relevant research questions and hypotheses which will be studied in the following analysis.
Part II: (Descriptive and Predictive Analytics) Explore price-response demand structure provide insights into petrol pricing using the predictive analytics.
Part III: (Prescriptive Analytics) Price decision-making modelling and price optimization.
Part IV: Summarize the key results and insights. Point out the limitations of the research and improvement opportunities.
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