SAS Intelligent Inventory Management vs supplychainpy
SAS Intelligent Inventory Management
sas.comsupplychainpy
supplychainpy.orgSide by side
| Figure | SAS Intelligent Inventory Management | supplychainpy |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Inventory Optimization Software | 7.3 (#16) | 7.9 (#3) |
| Deployment | SAS says the Viya version can be deployed on Microsoft Azure and Amazon Web Services and requires SAS Common Data Store. | The maker documents running the reporting suite locally with configurable host and port settings. |
| Intended users | SAS describes the suite for retail and CPG companies and says supply chain managers can use it to manage purchasing, distribution and inventory. | The maker describes it as a decision support tool for analysts in commercial inventory and demand planning roles. |
| Purpose | The suite provides inventory optimization, size profiling and purchase order optimization for retail and consumer packaged goods companies. | Supplychainpy is a Python library for supply chain analysis, modeling, and simulation. |
| Security and compliance | SAS lists ISO/IEC 27001:2022, ISO/IEC 27017:2015 and ISO/IEC 27018:2019 among its frameworks, and says applicability depends on the customer engagement and agreement. | The maker’s opened pages provide no security or compliance claims. |
Plans
SAS Intelligent Inventory Management
- SAS Intelligent Inventory ManagementPriced on request
In their own words
SAS Intelligent Inventory Management
SAS Intelligent Inventory Management is a web-based suite for retail and consumer packaged goods companies planning sizes, purchasing and inventory. It combines SAS Size Optimization and SAS Inventory Optimization, using historical sales, analytics and machine learning to produce size, demand and inventory intelligence. Size features create demand-based profiles, support event scenarios, detect active size ranges and work across hierarchy levels. Products can be grouped by hierarchy or attributes, with new products matched to attribute profiles. Pack recommendations can apply usage and variation constraints, combine packs with bulk and account for supply-chain costs, lifecycle changes and promotions. Inventory planning calculates stock levels across the supply chain and supports replenishment policies based on lead times, costs and target service levels. What-if analysis compares scenarios, proposal costs and policy effects across single- and multi-echelon networks. SAS says the Viya version can deploy on Microsoft Azure and Amazon Web Services, but SAS Intelligent Inventory Optimization is unavailable on Viya from release 2024.04 onward.
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.