Anaplan vs Trinamix Multi-Echelon Inventory Optimization
Anaplan
anaplan.comTrinamix Multi-Echelon Inventory Optimization
trinamix.comSide by side
| Figure | Anaplan | Trinamix Multi-Echelon Inventory Optimization |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Inventory Optimization Software | 8.2 (#2) | 6.6 (#20) |
| Forecasting | Yes | Stochastic-based forecasting identifies a range of outcomes and their probabilities to calculate inventory targets. |
| Founded | 2006 | 2009 |
| Headquarters | Miami, Florida, United States | United States |
| Integrations | Anaplan connects to third-party services through connectors or integration platforms, and its Integration API supports data movement, model interaction, and process execution. | The product integrates with Oracle Cloud SCM and ERP systems and can connect with third-party systems such as SAP. |
| Support | Anaplan's customer care team is available 24x7 by phone, according to its support contact page. | Trinamix directs support inquiries to its contact channels, including email, phone, and an online contact form. |
Plans
Trinamix Multi-Echelon Inventory Optimization
No plans published.
In their own words
Trinamix Multi-Echelon Inventory Optimization
Trinamix Multi-Echelon Inventory Optimization is a cloud-based web solution for positioning inventory across plants, distribution centers and retailers. It operates as a microservice with Oracle supply planning and models interdependent supply-chain stages using mathematical algorithms and historical behavior. Planners can adjust parameters, simulate inventory levels and assess effects across the network. The optimization infers postponement and risk pooling, accounts for demand and supply disruptions, and calculates safety stock by comparing marginal inventory utility with inventory positions. Stochastic forecasting estimates possible outcomes and probabilities for inventory targets, while machine learning converts supply and demand uncertainty into variability. An inventory-entitlement mechanism separates stock drivers such as errors and disruptions. A genetic algorithm optimizes inventory holding under budget constraints. Integrations include Oracle Cloud SCM, ERP systems and third-party systems such as SAP; Trinamix also lists the product on Oracle Cloud Marketplace. The maker identifies retail, consumer goods, manufacturing and high-tech industries as users. Pricing is on request. Trinamix lists the company as founded in 2009 and headquartered in the United States, while also identifying San Jose, California.