Turkish Cement Customer

Seza Çimento partnered with alcemy in 2025 to integrate machine learning-based quality control into its cement operations. The quality team set out to optimize raw material composition: reducing clinker usage while maintaining full compliance with cement strength classes. The results, validated over the first five months of operation, confirmed significant savings driven by precise management of the clinker/limestone content.

Through the precise management of the clinker/limestone balance by the Quality Control team, synchronized with the alcemy algorithm, a net improvement of 2.03 percentage points in clinker usage was achieved. This was implemented without risk to cement strength classes, thanks to the meticulous monitoring of the QC department and technical expertise regarding grinding aids and gypsum adjustments. Based on the production volume in the 5-month period, the recipe adjustments created significant savings, calculated confidentially as a 6.5 x Return on Investment.

The collaborative model, combining Seza's operational expertise with alcemy's algorithmic precision, sets the trajectory for long-term sustainable operations and even greater clinker optimization across the company's cement portfolio. The priority remains substituting clinker with limestone, with potential savings roughly exceeding 1 million annually.