Madhuarvind/Retail_sales_analysis
A complete exploratory data analysis (EDA) and forecasting project focused on retail sales data. The project identifies key sales patterns, seasonal trends, and builds predictive models to forecast future demand at the item-store level.
This project helps retail managers and business owners understand and predict their sales. It takes raw sales transaction data, like dates, item IDs, and quantities sold, and transforms it into insights about sales patterns, seasonal trends, and future demand forecasts. The outcome helps optimize inventory and promotional strategies for specific items in individual stores.
No commits in the last 6 months.
Use this if you need to analyze your historical sales data to identify trends and accurately predict future product demand at a detailed store and item level.
Not ideal if you're looking for a plug-and-play software solution or do not have technical skills to run Python scripts and work with data files.
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31
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1
Language
Python
License
MIT
Category
Last pushed
Jun 18, 2025
Commits (30d)
0
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