In the planning space, Blue Yonder introduces new capabilities in Cognitive Demand Planning to enhance demand forecasting and planner productivity.
September 2024 Release
What’s new in this release
- Details
Supply Chain Planning
Cognitive Demand Planning
Cognitive Demand Planning radically re-shapes the foundational process of demand planning by combining extensible machine learning (ML) and statistical techniques to generate a high-quality, mix-and-match forecast that improves the planner productivity and helps reduce supply chain costs. The solution provides a consolidated view of demand-related information, supporting collaborative consensus demand planning workflows across marketing, sales, and operations teams. This allows those teams visibility into numerous demand plan aspects, considering the various internal and external input sources that impact demand planning.
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Reconcile across any dimension using disaggregation service
The reconcile service inherits values from higher-level Demand Forecasting Units (DFU) to lower-level DFUs, including dates, measures (like price or promotion), parameters (like lead time), or computed measures. In addition to this, the values from source measure can be disaggregated to target measure based on what’s allocated respecting the date effectivity.
- Support partial week demand planning
This new capability generates ML and time series forecasts for partial weeks by breaking down a full week's forecast (which spans across two months) and dividing it into two partial weeks which extends across two months. The UI also supports viewing and managing the forecast in this way.
