ketteQ vs SAS Intelligent Inventory Management
ketteQ
ketteq.comSAS Intelligent Inventory Management
sas.comSide by side
| Figure | ketteQ | 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 | 7.7 (#5) | 7.3 (#16) |
| Deployment | Quintus can be deployed above existing systems, with the first use case typically going live in four to eight weeks without replacing those systems. | SAS says the Viya version can be deployed on Microsoft Azure and Amazon Web Services and requires SAS Common Data Store. |
| Headquarters | Atlanta, Georgia, United States | Cary, North Carolina, United States |
| Purpose | ketteQ provides supply chain planning and execution orchestration through Quintus, its supply chain AI intelligence. | The suite provides inventory optimization, size profiling and purchase order optimization for retail and consumer packaged goods companies. |
| Support | ketteQ says its implementation and support services teams work with clients to design and enable an appropriate future-state vision for their business. | SAS provides technical support through its support track system, and licensed customers can request an access key for the product documentation. |
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.