Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
Overview
Supplychainpy is an innovative Python library designed to streamline supply chain analysis, modeling, and simulation. Targeting professionals like demand planners, buyers, and supply chain analysts, this library aims to replace the cumbersome reliance on Excel and VBA for creating analytical tools. With its focus on alleviating repetitive tasks and fostering creativity, Supplychainpy sets the stage for enhanced productivity and more effective supply chain management.
Currently in its early development stages, Supplychainpy offers a promising approach for users accustomed to traditional methods. The library not only aims to simplify the usage of supply chain data but also seeks to leverage the extensive capabilities of Python, making it a versatile choice for data-driven professionals.
Features
- Easy Installation: Quickly install Supplychainpy via pip with a simple command, making it accessible for all users.
- Enhanced Reporting: The library includes a comprehensive reporting suite that encompasses dashboards, raw analysis, and SKU level forecasts.
- Natural Language Querying: A chatbot feature is being developed, allowing users to interact with the analysis using natural language for more intuitive querying.
- Docker Support: Offers a Docker image built from the continuumio/anaconda3 base, providing an easy-to-deploy environment for the library.
- Extensive Dependency Support: Integrates seamlessly with popular libraries like Numpy, Pandas, and Scipy, enhancing functionality.
- Flexible Reporting Options: Users can launch reports from the command line, with customizable host, port, and currency settings to suit their needs.
- Focus on Innovation: Aims to reduce mundane tasks and encourage analysts to develop innovative solutions within the supply chain domain.
