SKU Science
SKU Science: A structured forecasting suite with strong hierarchy, KPI, and collaboration tools. Ranked #49 of 53 in Demand Planning Software by our editors (5.1/10); pricing: 15-day trial; best for structured multi-level forecasting teams.
At a glance
- Editor score5.1 / 10
- Pricing15-day trial
- Best forStructured multi-level forecasting teams
- Free planNo
- Paid from$349/mo
- Founded2017
- Facts checked19 Sep 2026
Where it wins
- Statistical and machine-learning forecasts at SKU and aggregated levels
- Reconciliation, accuracy, bias, and forecast-value-added KPIs
- Lifecycle, promotion, consensus planning, and ERP data exchange
Where it doesn't
- Launch and Core limit access to 1 user and 2,500 forecast units
- No free plan; paid access starts at $349 per month billed annually
- Demand sensing and scenario planning are outside its documented feature set
Our verdict on SKU Science
SKU Science is a cloud-based demand planning and forecasting platform for manufacturers, distributors, food and beverage companies, life sciences organizations, and other operations teams. It supports SKU-level and multi-level forecasts, manual adjustments with reconciliation, collaborative consensus planning, and S&OP workflows. Its feature set also covers ABC/XYZ classification, product lifecycle events, promotions, substitutions, and dashboards that aggregate items by family, customer, store, or country. It is best suited to teams that need structured planning across several demand levels rather than a narrow forecasting calculator.
Pricing is organized into Launch, Core, and Enterprise. Launch costs $349 per month for annual billing and includes 1 user, up to 2,500 forecast units, automatic statistical forecasts, aggregated forecasts, multi-level forecasting, and ABC/XYZ classification. Core costs $625 per month for annual billing and keeps the 1-user and 2,500-unit limits while adding forecast history and archiving, advanced forecasting KPIs, dynamic dashboards, and product lifecycle management. Enterprise adds unlimited users, advanced AI forecasting, up to 200,000 forecast units, dedicated onboarding and support, plus integrations, API, and MCP access. A 15-day trial is available, but there is no free plan.
For data exchange and ecosystem fit, SKU Science supports Excel and CSV uploads alongside API and MCP connections, with integrations listed for ERP and BI workflows. Plans can be locked, archived, compared, and exported for ERP, replenishment, or production use. That makes the platform a practical match for organizations coordinating sales, key accounts, finance, and operations inputs. Smaller teams should weigh the annual paid commitment and user and unit limits on the lower tiers. Teams specifically seeking demand sensing or scenario planning should choose a product whose documented scope includes those capabilities.
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SKU Science pricing
All 3 SKU Science plans and prices →
SKU Science fact sheet
| Free plan | No |
|---|---|
| Paid from | $349/mo |
| Forecast horizon | Not verified |
| Demand sensing | Not verified |
| Scenario planning | Not verified |
| Hierarchical forecasting | Yes |
| Forecast granularity | Sku_location |
| Historical data window | Not verified |
| Free trial | 15 days |
| Deployment | Cloud |
| Platforms | Web |
| Integrations | 6 integrations: Excel, CSV, API, MCP, ERP, BI |
| Pricing | 15-day trial (source) |
| Website | skuscience.com |
| Facts checked | 19 Sep 2026 |
SKU Science integrations
SKU Science lists 6 integrations on its own site.
- Excel
- CSV
- API
- MCP
- ERP
- BI
Alternatives to SKU Science
- 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 SKU Science alternatives →
Also Ranked In
SKU Science is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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