📊 AI Sales Forecasting Dashboard

A sleek and interactive dashboard built with Streamlit + Plotly
for analyzing and forecasting e-commerce sales performance using smart filters and visual insights.

🌐 Live Demo | 🔗 GitHub | 👨‍💻 Author

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🚀 Overview

The AI Sales Forecasting Dashboard is a data visualization tool that helps you monitor and analyze sales trends, performance metrics, and promotional impact. Ideal for business analysts, data science learners, and product teams.

It features:

• Clear KPIs
• Time-series analysis
• Smart filters
• CSV export

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🧩 Features

✅ Filterable by Date, Region, and Category
📅 Weekend & Holiday Checkboxes
📈 Key Performance Indicators: Sales, Profit, Orders, Discounts
📊 Interactive Graphs Powered by Plotly
🔮 Sales Forecasting using Prophet
📥 Download Filtered Data as CSV
💡 Responsive and Clean UI using Streamlit Layouts

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🛠 Tech Stack Used

This project combines the power of modern data science tools and web technologies:

• 📊 Streamlit – For building fast and beautiful interactive dashboards
• 📈 Matplotlib Plotly Express – For dynamic and customizable data visualizations
• 🐍 Python 3.11+ – Core language for data manipulation and backend logic
• 🧮 Pandas – For handling and filtering the sales dataset
• 📦 Pyngrok – To expose the local app securely over the internet
• 🗃️ CSV File – Used as the backend data source (no database required)

⚙️ Deployed on Streamlit Cloud.

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🔮 Forecasting Model (Prophet)

We use Facebook Prophet for time series forecasting:

• Trained on historical Sales data
• Forecasts future sales
• Visualized directly in the dashboard

📌 Visuals

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📁 Dataset Schema

Ensure your your_final_dataset.csv contains:

Order Date, Category, Region, Sales, Profit, Order ID, Discount, IsWeekend, IsHoliday

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▶️ Getting Started

Ready to launch the AI Sales Forecasting Dashboard on your machine? Follow these simple steps:

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🔧 Setup

git clone https://github.com/anshkumar2311/AI-Powered-Sales-Forecasting-Dashboard.git
cd AI-Powered-Sales-Forecasting-Dashboard
pip install -r requirements.txt
streamlit run app.py

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📥 Download Filtered Data

🎯 Purpose: Empower users to focus only on the data they care about!

The dashboard offers an intuitive and seamless way to:

• 📅 Select Date Range
• 🛒 Choose Product Categories
• 🌍 Filter by Sales Region
• 🏖️ Toggle Weekend and Holiday Filters

Once filtered, users can easily:

✅ Export the view as a downloadable CSV file
📤 Use the data for further analysis or reporting

Whether you're a marketer, business analyst, or data enthusiast — this feature brings flexibility and control to your fingertips.

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🌟 Show Some Love

If you like this project, please consider:

⭐️ Starring the repo
🍴 Forking it for your own version

Let’s connect and grow together 🚀