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New Data Insight Title: Demand-Supply Alignment Index

Explanation: This visualization presents the Demand-Supply Alignment Index, a data-driven dimension that captures how closely forecasted demand matches available supply over a planning cycle. Each point on the line corresponds to a monthly balance score between 0 and 100, where higher values indicate better alignment and more reliable service levels. The index helps teams quickly identify periods of tight or loose alignment, informing actions across forecasting, procurement, and production planning. The x-axis shows months (Jan–Dec), while the y-axis signals the alignment level. The shaded area under the line emphasizes the magnitude of alignment and makes deviations from the trend more visible. In the sample data, the index starts at 60 in January, rises gradually through the spring, and reaches 92 in December. This pattern suggests that forecasting accuracy and supply response improved over the year, possibly due to process enhancements, supplier onboarding, or capacity adjustments. The chart is intentionally simple to support rapid interpretation by cross-functional teams, but it can be extended with additional dimensions such as region, product category, or supplier reliability to enrich insights. By comparing the trajectory against operational initiatives, managers can assess the effectiveness of interventions like inventory policy changes, lead-time reductions, or demand shaping campaigns. The monthly view also helps detect seasonality effects, such as spikes in the later months when demand tends to increase, and to observe whether supply operations scale accordingly. Practically, the index can serve as a baseline metric for continuous improvement and a common reference point during monthly reviews. When integrated into a broader dashboard, it complements KPIs such as forecast accuracy, service level, and on-time delivery, enabling a holistic view of supply chain health. The visualization remains accessible to stakeholders from procurement to sales, supporting data-driven discussions and coordinated responses to evolving market conditions. Additionally, the metric can be normalized to compare across product families or regions, enabling scenario analysis and more precise optimization.