Tricolor: Predictive Procurement Intelligence

The business challenge

Traditional reporting could explain what had already happened — what was purchased, what inventory existed, what suppliers provided, what costs were incurred. But historical reporting alone was not enough for procurement planning. Supply Chain leadership needed to combine operational data, procurement information and historical patterns into a predictive view: what is likely to happen, and where should we pay attention?

The solution

Z&C built the analytical environment around Power BI, SQL, Power Query, DAX and predictive modeling. Historical procurement and operational data was transformed and standardized so purchasing activity could be evaluated consistently over time, then modeled with regression, decision trees, random forest and forecasting — evaluated with MAE/MSE for reliability.

• Power BI
• SQL
• Power Query
• DAX

Implementation

• Data preparation & standardization

  Historical procurement, inventory and operational data prepared and standardized for consistent analysis over time.

• Predictive models

  Regression, decision trees and random forest trained on purchasing patterns, with forecasting for future procurement behavior.

• Model evaluation

  Forecast and risk output evaluated with MAE/MSE before being trusted in the decision process.

• Embedded predictions

  Predictions embedded in Power BI semantic models alongside operational KPIs.

• Familiar consumption

  Leadership consumes forecasts through familiar dashboards and scorecards.

Business results

• Predictive capability

  BI expanded from descriptive reporting into procurement intelligence.

• Usable ML

  Model output integrated into the decision process instead of living in Python scripts.

• Planning confidence

  Supply chain leadership evaluates procurement with historical patterns and forecasts.