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mahalakshmivishnudas / pizza-sales

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Predictive Analysis of pizza sales #1

Closed mahalakshmivishnudas closed 1 month ago

mahalakshmivishnudas commented 1 month ago

Worked on the requirements of the business and to forecast their future sales by creating dashboards.

mahalakshmivishnudas commented 1 month ago

Predictive Analysis of Pizza Sales This project focuses on developing a predictive model for pizza sales using historical data and advanced analytical techniques. The goal is to accurately forecast future sales, helping pizza businesses optimize their operations and improve profitability. Here’s a detailed breakdown of the project:

Objectives

  1. Forecast Pizza Sales: Predict future pizza sales based on historical data.
  2. Optimize Inventory: Ensure the right amount of ingredients are ordered to meet customer demand without overstocking.
  3. Improve Staffing: Align staffing levels with expected sales to reduce labor costs and improve customer service.
  4. Enhance Marketing Strategies: Identify trends and peak sales periods to inform targeted marketing campaigns.

Data Sources

  1. Sales Data: Historical sales data from the pizza business, including daily/weekly/monthly sales figures.
  2. Customer Data: Information on customer demographics, preferences, and purchasing patterns.
  3. External Factors: Data on local events, holidays, and weather conditions that might influence sales.

Methodology

  1. Data Collection: Gather and preprocess data from various sources.
  2. Exploratory Data Analysis (EDA): Analyze data to understand trends, seasonality, and patterns.
  3. Feature Engineering: Create relevant features that will help improve the accuracy of the predictive model.
  4. Model Selection: Evaluate different models to identify the best-performing one.
  5. Model Training and Validation: Train the selected model on historical data and validate its performance using a holdout dataset.
  6. Optimization Recommendations: Provide actionable insights and recommendations based on the predictive analysis.

Technologies Used

  1. Excel: For initial data exploration, cleaning, and basic analysis.
  2. SQL Server Management Studio (SSMS): For data storage, advanced querying, and processing.

Conclusion By accurately predicting pizza sales, this project aims to help pizza businesses enhance operational efficiency, reduce waste, and maximize profitability. The insights gained from this analysis can drive data-driven decision-making and strategic planning.

pizza_sales excel file.xlsx PIZZA SALES SQL QUERIES.docx [Pizza Sales (Dashboard.xlsx)

mahalakshmivishnudas commented 1 month ago

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