Trinamix Multi-Echelon Inventory Optimization
Trinamix Multi-Echelon Inventory Optimization: A planning-focused cloud solution for complex Oracle- and SAP-based supply chains. Ranked #15 of 25 in Inventory Optimization Software by our editors (7.5/10); pricing: Pricing on request; best for oracle- or SAP-based inventory teams.
At a glance
- Editor score7.5 / 10
- PricingPricing on request
- Best forOracle- or SAP-based inventory teams
- Founded2009 · United States
- Facts checked21 Sep 2026

Where it wins
- Simulation-based safety-stock sizing across supply-chain stages
- Budget constraints and stochastic forecasting support planning decisions
- Oracle, SAP, and OTIF prediction capabilities fit larger operations
Where it doesn't
- Pricing requires contacting sales
- Cloud and web deployment only
- Proprietary product rather than open source
Our verdict on Trinamix Multi-Echelon Inventory Optimization
Trinamix Multi-Echelon Inventory Optimization is a cloud-based web solution for mid-market and enterprise organizations managing inventory across multiple supply-chain nodes. It models inventory flows across interdependent stages and locations, helping planners evaluate inventory buffers, locations, service-level targets, and supply-and-demand uncertainty. Its feature set is aimed at teams that need more than single-location replenishment, particularly organizations operating Oracle or SAP environments.
The product’s strongest area is scenario-based planning. Planners can simulate inventory levels and supply-chain impact, size safety stock using simulation and inventory-position analysis, and optimize inventory across multiple echelons. Budget constraints are part of the optimization workflow, while stochastic forecasting and machine-learning-based variability analysis support inventory-target decisions. OTIF delivery prediction uses historical and predicted events, adding a service-performance view alongside inventory planning. These capabilities make Trinamix a fit for teams balancing working capital, service levels, and network-wide inventory flows.
Ecosystem fit is another practical consideration. Trinamix integrates with Oracle Cloud SCM and Oracle ERP and can connect with SAP, which supports organizations already working within those enterprise systems. The product is deployed in the cloud and accessed through the web, with email and phone support channels listed. Pricing is handled through contact with sales, so it suits organizations prepared for an enterprise software buying process rather than teams seeking a self-serve purchase. Choose Trinamix for multi-echelon modeling, simulation, and budget-aware planning across complex networks; choose another option if you need open-source software or a non-cloud deployment.
Trinamix Multi-Echelon Inventory Optimization pricing
Trinamix Multi-Echelon Inventory Optimization fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Multi-location optimization | Yes |
| Safety stock optimization | Yes |
| Service-level targets | Yes |
| Replenishment recs | Not verified |
| Multi-echelon optimization | Yes |
| Scenario planning | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Phone |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Oracle Cloud SCM, Oracle ERP, SAP |
| Pricing | Pricing on request |
| Website | trinamix.com |
| Facts checked | 21 Sep 2026 |
Trinamix Multi-Echelon Inventory Optimization integrations
Trinamix Multi-Echelon Inventory Optimization lists 3 integrations on its own site.
- Oracle Cloud SCM
- Oracle ERP
- SAP
Alternatives to Trinamix Multi-Echelon Inventory Optimization
- PTC Servigistics Advanced Inventory OptimizationA specialized platform for optimizing service-parts stock across complex supply chains.9.2
- Slimstock Slim4ERP-connected forecasting and replenishment for complex, multi-location inventory networks.8.7
- ToolsGroup SO99+A broad, enterprise-focused optimizer for uncertain demand and multi-location inventory.8.6
See all Trinamix Multi-Echelon Inventory Optimization alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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