Retail Sales Trend Analyzer: A Streamlit-based Application For Trend Detection, Product Insights, And Forecasting

• Author(s):

  Akashkumar V | Thamizharasan N

• Keywords:

  Retail Analytics, Sales Forecasting, Time Series Analysis, Streamlit, Facebook Prophet, Data Visualization, Business Intelligence, Product Per- Formance, Demand Forecasting, Interactive Dashboard

• Abstract:

  In The Competitive Retail Industry, Understanding Sales Patterns, Seasonality, And Demand Forecasting Is Crucial For Strategic Planning And Operational Efficiency. This Paper Presents An Interactive And Lightweight Web-based Application, Retail Sales Trend Analyzer, Developed Using Streamlit. The System Ingests Retail Sales Data, Visualizes Trends Using Plotly And Seaborn, Identifies Product Performance, And Performs Time Series Forecasting Using Facebook Prophet. Actionable Business Insights And Downloadable Reports Make It A Practical Tool For Retail Managers, Analysts, And Decision-makers.

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Other Details

• Paper id:

  IJSARTV11I4103173

• Published in:

  Volume: 11 Issue: 4 April 2025

• Publication Date:

  2025-04-16

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