https://github.com/fisapool/docs
https://github.com/fisapool/docs
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/fisapool/docs
- Owner: fisapool
- Created: 2025-03-17T03:07:22.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-17T03:26:53.000Z (about 1 year ago)
- Last Synced: 2025-03-17T04:28:48.081Z (about 1 year ago)
- Language: Python
- Size: 29.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Business Pricing System
A comprehensive system for optimizing pricing based on market data, historical sales, and machine learning models.
## Features
- **Dynamic Price Optimization**: Automatically adjust prices based on market conditions
- **Machine Learning Models**: Train and use ML models to predict optimal pricing
- **A/B Testing**: Test different pricing strategies against each other
- **Market Data Integration**: Collect and analyze competitor pricing
- **Seasonality Analysis**: Account for seasonal trends in pricing
- **Dashboard**: Visual reporting of pricing performance and metrics
## Installation
1. Clone the repository:
```
git clone https://github.com/fisapool/business-pricing-system.git
cd business-pricing-system
```
2. Install dependencies:
```
pip install -r requirements.txt
```
3. Create necessary directories:
```
mkdir -p data models docs
```
## Usage
### Generate Sample Data
```
python create_sample_data.py
```
### Train Models
```
python main.py --train --data-path data/historical_sales.csv --output-dir models
```
### Run Price Optimization
```
python main.py --optimize --config config/pricing_config.json --data-dir data
```
### Update Dashboard
```
python main.py --update-dashboard --data-dir data
```
## Dashboard
The system generates a static dashboard in the `docs` folder, which can be viewed locally or hosted via GitHub Pages.
## License
MIT License