README.md

metadata

title: TurnoverForecasting
emoji: 📊
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.22.0
app_file: app.py
pinned: false
license: mit
short_description: Forecasting SAP SE Revenue with AI

📊 AI-Powered Turnover Forecasting for SAP SE

🚀 Project Overview

This project delivers AI-driven revenue forecasting for SAP SE using a univariate SARIMA model. The focus is to demonstrate how reliable forecasts can be achieved with minimal data — only historical turnover — making this approach powerful for both large enterprises and resource-constrained settings.

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📌 Why Univariate Forecasting?

• 🔎 Focus on one key variable — Revenue
• ✅ Ideal when limited data is available
• 🧠 Easier to interpret and communicate results
• 🚀 Fast to train, test, and deploy
• 💡 Great for early-stage AI adoption and small business analytics

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🏢 Why SAP SE?

• SAP SE is a global leader in enterprise software
• Accurate revenue forecasts support strategic planning, risk management, and growth
• As a digital-first company, SAP is ideal for showcasing AI integration in financial operations

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🛠️ Technical Approach

• SARIMA model (Seasonal ARIMA) for time-series forecasting
• Forecast horizon: 1 to 6 quarters
• Built-in walk-forward validation
• Gradio UI for interactive forecasting
• Visuals powered by Plotly

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📊 Dataset

• Source: Top 12 German Companies Financial Data (Kaggle)
• Focused subset: SAP SE revenue over time
• Realistic industry dataset for enterprise-level modeling

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🎯 Features

• Predict revenue trends with confidence intervals
• Dynamic forecasting by adjusting horizon and confidence level
• Interactive and mobile-friendly layout (single-column Gradio)
• Insightful visual comparisons: Training, Validation, Test & Future Forecasts

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⚙️ How to Run

git clone https://github.com/Sharma-Pranav/Portfolio.git
cd projects/TurnoverForecasting
pip install -r requirements.txt
python app.py

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## **📌 Results**  
- **Accurate Accurate revenue forecasting for SAP SE for better financial planning. **  
- **Optimized financial planning & business strategy insights.**  
- **Walk-Forward Validation ensures model reliability over time.**.  

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🌐 Try It Live on Hugging Face

Experience the project without installing anything!

🚀 Just head to the hosted interactive demo:

👉 Launch the Forecasting App

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🔍 What You Can Do:

• 📅 Select Forecast Horizon – Choose how many future quarters (1–6) to predict
• 🎯 Adjust Confidence Level – See uncertainty intervals dynamically
• 📈 Visualize Forecasts – Instantly view training vs. validation vs. future forecasts
• 📲 Use on Any Device – Mobile-optimized for fast access anywhere

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📌 Developed by: Pranav Sharma 📆 Project Start Date: February 2025
📁 Repository: https://github.com/Sharma-Pranav/Portfolio/