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Sales Anomalies and Trends

The Sales Anomalies and Trends Dashboard provides advanced analytical visibility into margin erosion risks, abnormal daily sales activity, and temporal sales behavior. It enables executive and operational leadership to detect early warning signals in customer and product performance, identify volatility-driven risks, and isolate statistically abnormal revenue events for targeted investigation.

Key Performance Indicators (KPIs)​

  • Net Sales Variance %: Measures the percentage change in net sales relative to the comparison baseline displayed in the analytics. Higher positive values indicate accelerated sales growth, while negative values signal revenue contraction or demand instability.
  • Margin Erosion %: Represents the percentage degradation in margin relative to expected or historical levels at the customer or product level. Higher positive erosion indicates worsening profitability, while stable or declining erosion reflects improved margin control.
  • Net Sales TY: Represents daily net sales values for the current year used as the primary signal for anomaly detection. Higher values indicate stronger daily revenue generation, while sharp deviations from trend highlight potential abnormal events.
  • Net Sales Volatility High: Represents the upper statistical threshold of expected sales variability. Daily sales exceeding this bound indicate unusually high revenue behavior requiring investigation.
  • Net Sales Volatility Low: Represents the lower statistical threshold of expected sales variability. Daily sales falling below this bound indicate unusually weak performance or potential operational disruptions.

Benefits of this Dashboard​

  • Early Margin Risk Identification: Enables proactive detection of customer and product-level margin erosion before financial impact compounds.
  • Anomaly Detection and Revenue Governance: Identifies statistically abnormal sales spikes or drops to support fraud detection, operational issue diagnosis, and exceptional event validation.
  • Temporal Demand Pattern Analysis: Reveals day-level and month-level sales density patterns to optimize operational planning and commercial execution.
  • Customer and Product Profitability Protection: Supports targeted pricing, contract renegotiation, and product portfolio actions by isolating erosion drivers.
  • Data Integrity and Operational Exception Monitoring: Strengthens trust in commercial data by surfacing outliers that may indicate posting errors, timing issues, or extraordinary transactions.

Filtering​

You can filter the dashboards using these filtering panels:

  • Year
  • Period
  • Company
  • Site
  • Product Statistical Group