Machine Learning
CRH · Cement

Cement Sales Volume Forecasting

Weekly forecast precision
Calendar & climate variables
Self-adjusting models

The Challenge

Lack of forecast precision generated unnecessary stock accumulation or stockouts, increasing logistics costs and reducing market competitiveness. Inaccurate forecasting limited planning, reduced adaptability and put corporate growth at risk.

What We Built

Predictive models trained on advanced historical data anticipate future sales volumes at weekly granularity. Macroeconomic variables, working calendars and seasonal factors are integrated. Iterative algorithms self-adjust precision as they learn from recent deviations without retraining from scratch.

Operational Impact

Reliable weekly sales estimation aligns production planning, inventory and logistics — restoring adaptability and enabling leadership to plan for growth with confidence.

Technology Used

Prophet
Power BI
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Standards

Secure, accountable delivery.

Recognised standards for information security, quality management and responsible data protection.

ENS Alto certificationENS Alto
ISO/IEC 27001 certificationISO 27001
ISO 9001 certificationISO 9001
GDPR complianceGDPR
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