README.md

metadata

title: AI-Driven Daily Gross Margin (Revenue − COGS)
emoji: 📈
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.37.1
app_file: app.py
pinned: false

AI-Driven Daily Gross Margin (Revenue − COGS) — Streamlit Demo

What it shows

• Synthetic SAP-like daily transactions
• Model: RandomForestRegressor predicts GM% and explains drivers with SHAP
• Daily analysis: KPIs, top drivers, segment hotspots
• What-if simulator: adjust discount/cost per segment using an estimated elasticity
• Recommendations: ranked actions with expected GM uplift

Run locally

python -m venv .venv && source .venv/bin/activate  # on Windows: .venv\Scripts\activate
pip install -r requirements.txt
streamlit run app.py

Deploy to Hugging Face Spaces

1. Create a new Space → SDK: Streamlit.
2. Upload app.py, requirements.txt, and this README.md.
3. The Space will build automatically and launch the app.

Notes

• Data is synthetic but embeds realistic pricing, discounting, cost, and elasticity signals.
• SHAP is computed on demand with a sample size control for performance.
• Recommendations are illustrative; in production, add policy bounds, portfolio constraints, and cost/promo feasibility tables.