Blue Yonder Demand and Supply Planning vs supplychainpy
Blue Yonder Demand and Supply Planning
blueyonder.comsupplychainpy
supplychainpy.orgSide by side
| Figure | Blue Yonder Demand and Supply Planning | supplychainpy |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Inventory Optimization Software | 7.4 (#11) | 7.9 (#3) |
| Forecasting | Combines statistical methods, machine learning and AI with explainability for demand sensing and planning. | The features page lists simple exponential smoothing and Holt’s trend corrected exponential smoothing; ARIMA models are marked as under development. |
| Integrations | The API-first platform is designed to connect with SAP, Oracle, Salesforce and custom applications. | The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl and xlwings. |
| Purpose | Provides all-in-one demand, supply and inventory planning for supply-chain organizations. | Supplychainpy is a Python library for supply chain analysis, modeling, and simulation. |
Plans
Blue Yonder Demand and Supply Planning
- Demand & Supply PlanningPriced on request
In their own words
Blue Yonder Demand and Supply Planning
Blue Yonder Demand and Supply Planning has no write-up on Specifiction yet; its figures are above.
supplychainpy
supplychainpy is a Python library for supply chain analysis, modeling, and simulation, aimed at commercial inventory and demand-planning analysts. Its inventory features include ABC XYZ classification, safety stock, reorder levels, economic order quantity, service-level targets, and replenishment recommendations. Forecasting options include simple exponential smoothing and Holt’s trend-corrected exponential smoothing; ARIMA models remain under development. The reporting suite presents charts, tables, KPIs, inventory summaries, and recommendations, with a bot for querying analysis in natural language. Inputs can be CSV or text files, Pandas DataFrames, or data supplied through a database ETL process. The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl, and xlwings. Installation is available through pip or from source, and the reporting suite can run locally with configurable host and port settings. Command examples cover Linux, Mac, and Windows. The project is licensed under BSD-3 and is free. Its maker warns that the library is in early development and unsuitable for production because its API may change.