📈 AI-Powered E-commerce Sales Forecasting Dashboard

📖 Introduction

Problem Statement: Developed a tool to help businesses move from reactive to proactive planning by turning historical sales data into actionable, predictive insights.

Solution Overview: This dashboard uses machine learning to forecast future sales and provide a visual breakdown of top-performing products, directly addressing challenges in inventory and marketing.

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⚙️ Technical Overview

🔑 Key Features

• Sales Forecasting: An AI model predicts a 30-day sales forecast based on historical data.
• Product Analytics: Identifies and visualizes top-selling products to inform inventory decisions.
• Interactive Dashboard: A live web application built with Streamlit for a user-friendly experience.

🛠️ Technologies Used

• Python
• Streamlit
• Pandas
• Scikit-Learn (Gradient Boosting)
• Plotly

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🚀 How to Run the Project

1. Clone the Repository:

   git clone https://github.com/YourUsername/ai-sales-forecasting-dashboard.git

2. Navigate to the Directory:

   cd ai-sales-forecasting-dashboard

3. Install Dependencies:

   pip install -r requirements.txt

4. Run the Dashboard:

   streamlit run app.py