This project is aimed at developing a dynamic pricing system for e-commerce platforms. The system includes predictive modeling, demand elasticity analysis, and price optimization under business constraints.
- Demand Prediction: Utilizes machine learning to predict product demand based on historical data.
- Elasticity Curve Analysis: Models the relationship between price changes and demand fluctuations.
- Price Optimization: Suggests optimal pricing strategies to maximize revenue or achieve other KPIs.
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Data Preprocessing:
- Conducted exploratory data analysis (EDA) using tools like Pandas, Matplotlib, and NumPy.
- Extracted and engineered features such as weekly sales summaries, elasticity indicators, and gross market value.
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Machine Learning Model:
- Implemented regression models using the CatBoost framework.
- Applied RMSE and MAE for loss function evaluation and error interpretation.
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Optimization Logic:
- Developed methods to adjust pricing dynamically based on predicted demand and business constraints.
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Visualization:
- Visualized results through graphs to highlight demand-price relationships and optimization outcomes.
Example datasets at backend/examples/
URL - http://158.160.17.229:12345/docs
Build image
docker build -t master-cost-recsys -f Dockerfile .
Run container
docker run -d -p 12345:12345 --name master-cost-recsys master-cost-recsys
- Train
Allows to train a model on your own data
- weights_name: string
- target_column_name: string
For example datasets (backend/examples/) = "purchase_count_prod"
- iterations: int
- depth: int
- file: .csv example-like format
- Predict
Allows to use of trained models and download predictions
- weights_name: string
- target_column_name: string
- Python: Main programming language for analytics and development.
- Pandas: Data manipulation and cleaning.
- Matplotlib: Data visualization.
- NumPy: Numerical computations.
- CatBoost: Machine learning framework for regression tasks.
- fastapi: Web framework for building APIs with Python
- Korol Maksim Maximovich: Project Manager, Data Scientist.
- Shkolin Alexander Yuryevich: Data Scientist.
- Nechaev Danila Konstantinovich: Data Scientist.
- Gareev Eldar Rustemovich: Data Scientist.