Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Akashkumar V Thamizharasan N
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.
Keywords
Retail Analytics
Sales Forecasting
Time Series Analysis
Streamlit
Facebook Prophet
Data Visualization
Business Intelligence
Product Per- Formance
Demand Forecasting
Interactive Dashboard
Paper ID
IJSARTV11I4103173
Publication Date
April 16, 2025
Research Area
Computer Science