OgenTech ForecastPlanner
OgenTech ForecastPlanner: AI and statistical demand forecasts paired with inventory tools and Power BI dashboards. Ranked #35 of 53 in Demand Planning Software by our editors (6.0/10); pricing: Pricing on request; best for teams needing explainable forecasts and BI dashboards.
At a glance
- Editor score6.0 / 10
- PricingPricing on request
- Best forTeams needing explainable forecasts and BI dashboards
- Founded2005 · Israel
- Facts checked24 Sep 2026
Where it wins
- Forecasts at product and location levels, including lifecycle and promotion effects
- Explainable predictions include feature importance and confidence information
- Integrates with SAP, Oracle Demantra, JDA Manugistics, and Power BI
Where it doesn't
- Pricing requires contacting OgenTech
- Cloud deployment may not fit teams seeking another deployment model
- Email is the stated support channel
Our verdict on OgenTech ForecastPlanner
OgenTech ForecastPlanner is a cloud-based demand forecasting and inventory optimization platform for mid-market and enterprise teams. It combines statistical methods and AI models to forecast demand across product and location levels, with capabilities for lifecycle stages, promotions and events, anomaly detection, and noisy datasets. The product is suited to planners and managers who need more than a single demand estimate, including teams that want to inspect forecast drivers and connect planning outputs to BI dashboards.
ForecastPlanner emphasizes explainability and planning depth. Its forecasts include feature importance and confidence information, while scenario simulation supports what-if analysis. Inventory tools include dynamic safety-stock targets, and the platform can model launch, steady-state, and phase-out items as well as promotion and event uplift. Customized Power BI dashboards are available for business analysis. This mix may suit organizations that need forecast detail and scenario exploration; buyers seeking a narrow forecasting tool without inventory or dashboard requirements may find the broader scope unnecessary.
Ecosystem fit is a notable consideration for supply-chain teams. Listed integrations include SAP, Oracle Demantra, JDA Manugistics, Power BI, and custom SCM systems. ForecastPlanner is offered as cloud SaaS, and OgenTech directs prospective customers to contact the company for pricing rather than publishing plan prices. Email is the stated support channel. Teams evaluating it should clarify commercial terms and how their systems and planning workflows will connect. It is a stronger fit for mid-market and enterprise buyers seeking explainable forecasts in an existing supply-chain environment than for teams that need self-service pricing or a non-cloud deployment.
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OgenTech ForecastPlanner pricing
OgenTech ForecastPlanner fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Forecast horizon | Not verified |
| Demand sensing | Not verified |
| Scenario planning | Yes |
| Hierarchical forecasting | Yes |
| Forecast granularity | Sku_location |
| Historical data window | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: SAP, Oracle Demantra, JDA Manugistics, Power BI, Custom SCM systems |
| Pricing | Pricing on request |
| Website | ogentech.com |
| Facts checked | 24 Sep 2026 |
OgenTech ForecastPlanner integrations
OgenTech ForecastPlanner lists 5 integrations on its own site.
- SAP
- Oracle Demantra
- JDA Manugistics
- Power BI
- Custom SCM systems
Alternatives to OgenTech ForecastPlanner
- DELMIA Demand PlanningA strong fit for Dassault ecosystem teams coordinating forecasts, scenarios and S&OP.9.3
- Zebra Workcloud Forecasting & AnalysisEnterprise forecasting with demand-driver analysis and low-code machine-learning workflows.9.1
- SAS Intelligent Planning SuiteEnterprise retail planning suite linking forecasts, assortments and merchandise finances.9.0
See all OgenTech ForecastPlanner alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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