Details

December 2024 Release

What’s new in this release

Supply Chain Planning

Blue Yonder’s latest updates across its supply chain planning solutions focus on breaking down traditional silos in planning and ensuring that business planners can make more informed, data-driven decisions across demand and supply planning as well as inventory optimization. These new capabilities streamline planning, reduce manual intervention and ensure businesses can swiftly adapt to changes, resulting in better customer experience, faster time-to-market and improved operational agility.

Integrated Business Planning

The latest Integrated Business Planning release introduces several key features as part of its in-line analytics framework to enhance business decision-making and planning workflows. The in-line analytics framework empowers organizations to stay agile, data-informed and proactive in managing business performance. The analytics are embedded directly within business workflows, which allows users to view, interpret and act on insights without leaving the application environment. This integration minimizes workflow disruption and ensures that analytics are used actively in everyday decision-making.

Key capabilities introduced in this release include:

  • Customizable metrics and KPIs allow users to define and track custom metrics and KPIs tailored to specific business goals or departmental needs, facilitating targeted performance analysis.

  • Real-time data collection and monitoring continuously captures and tracks data from various scenarios. This real-time data capture allows users to stay updated on current performance, enabling immediate response to changes and making it easy to interpret data directly within the application.

  • Anomaly detection monitors data patterns and automatically flags unusual trends or anomalies. For instance, if a specific metric deviates significantly from the norm, the system can alert users, allowing them to investigate and address issues before they escalate.

  • Drill-down and root cause analysis provide the ability to drill down from high-level trends to detailed data. Users can trace a performance shift to specific transactions, customer interactions, or operational metrics.

  • Historical data comparison and trend analysis enables users to conduct trend analysis and comparisons over time. Users can view performance against past periods or previous forecasts, supporting better insight into seasonal trends, growth patterns or any recurring performance issues.

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