SKU Science Review: Demand Forecasting Software
SKU Science helps operations and supply chain managers generate sales forecasts and track performance. It is designed for teams moving from manual spreadsheets to a structured demand planning process.
At a glance
- Category
- Operations
- Best for
- Supply chain managers, Demand planners, Operations managers, S&OP managers, Mid-market companies
- Pricing
- Paid plans start at $349/month for the Launch plan (1 user, up to 2,500 units), with a Core plan available at $795/month and custom pricing for Enterprise.
- Key use cases
- Generating Sales Forecasts, Operational Business Reviews, Demand Planning for Perishable Goods, Budgetary Planning
- Integrations
- Excel export, ERP export, BI export
- Official website
- skuscience.com
SKU Science is a cloud-based demand forecasting and analytics tool designed to help businesses move away from manual budgeting and spreadsheet-based planning. It uses statistical models to generate baseline forecasts and provides dashboards to track sales performance and variance against budgets.
The platform is built for supply chain professionals, including demand planners and S&OP managers. It supports various levels of aggregation, allowing users to view and adjust forecasts by item, product family, customer, or territory.
Beyond forecasting, the tool includes features for classifying inventory and managing product lifecycles. It is hosted on AWS in Ireland and maintains SOC 2 Type II and ISO 27001 certifications to support data security requirements.
Buyers should consider their specific volume of forecast units and user needs when selecting a plan, as the entry-level tier has limits on users and units.
Key Features
Calculates forecasts based on historical data using statistical combinations to detect trends and seasonality.
Supports the generation and adjustment of forecasts across different levels, such as items, customers, territories, and product families.
Helps categorize inventory items to prioritize focus based on value and forecast stability.
Provides tracking of sales performance, year-over-year evolution, and variance versus budget.
Includes tools to manage the phase-in and phase-out of products within the forecasting process.
Computes accuracy, absolute error, and bias to help evaluate model performance.
Use Cases
Using historical data to create a baseline forecast that can be adjusted with field information.
Using dashboards to compare current performance against fiscal budgets and previous years.
Supporting S&OP processes in industries like agri-food where seasonality and perishability are factors.
Creating budgets at the SKU, channel, and customer level.
Best For
Integrations
Pricing
Paid plans start at $349/month for the Launch plan (1 user, up to 2,500 units), with a Core plan available at $795/month and custom pricing for Enterprise.
FAQ
The platform is SOC 2 Type II and ISO 27001 certified, is GDPR compliant, and hosts data on AWS servers in Ireland with SSL encryption.
Pricing starts at $349/month for the Launch plan, $795/month for the Core plan, and custom pricing for the Enterprise tier.
Yes, SKU Science offers a 15-day free trial with unlimited access to features and no credit card required for signup.
The implementation team may upload field lists and historical demand data free of charge to help users become operational.
Source category: Operations
Source subcategory: Analytics & Reporting
