Compare sedApta Demand Management vs SAS Collaborative Planning Workbench

The blend of statistical and collaborative forecasting ensures precise sales predictions by adapting to both historical data and real-time input, significantly improving planning effectiveness.

Users can configure time series at customized aggregation levels, allowing granular visibility across departments, products, markets, or customer segments.

The platform’s ability to manually adjust forecasts for special events, promotions, or new market dynamics enhances agility and responsiveness to external fluctuations.

By aligning supply with demand, sedApta helps reduce overstocking, lowers purchasing costs, and maintains ideal inventory levels across the supply chain.

SAS® Collaborative Planning Workbench automates the entire consensus planning process using a structured, analytics-backed workflow, significantly reducing manual effort and planning inconsistencies across departments.

By consolidating internal and external demand forecasts and applying weighted statistical techniques, it improves forecast precision and provides a more holistic view of demand.

Users can easily simulate different planning outcomes and adjust baseline forecasts, enhancing flexibility and preparedness for market volatility.

Built-in FVA tools allow organizations to quantify the impact of manual adjustments versus statistical models, enabling data-driven improvements.