Blue Yonder Demand and Supply Planning vs SAS Intelligent Inventory Management
Blue Yonder Demand and Supply Planning
blueyonder.comSAS Intelligent Inventory Management
sas.comSide by side
| Figure | Blue Yonder Demand and Supply Planning | SAS Intelligent Inventory Management |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Inventory Optimization Software | 7.4 (#11) | 7.3 (#16) |
| Platform | Runs on a highly available, cloud-native platform deployable globally across hybrid and SaaS environments. | SAS identifies the most recent release as SAS Intelligent Inventory Management on the SAS Viya platform. |
| Purpose | Provides all-in-one demand, supply and inventory planning for supply-chain organizations. | The suite provides inventory optimization, size profiling and purchase order optimization for retail and consumer packaged goods companies. |
| Support | Support offerings include standard support and premium or cloud support with 24/7 critical-incident access. | SAS provides technical support through its support track system, and licensed customers can request an access key for the product documentation. |
Plans
Blue Yonder Demand and Supply Planning
- Demand & Supply PlanningPriced on request
SAS Intelligent Inventory Management
- SAS Intelligent Inventory ManagementPriced 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.
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.