Case Study: Clayco achieves faster, more accurate cash flow forecasting with Dataiku

Clayco Revolutionizing Cash Flow Forecasting

Clayco, a commercial, institutional, industrial, and residential builder, struggled with manual, spreadsheet-based cash flow forecasting that was slow, hard to scale, and lacked validation or monitoring. The company wanted a more reliable, agile way to estimate cash on hand and needed a platform that could support a small data science team building its first production model. Dataiku helped Clayco modernize this process.

Using Dataiku, Clayco built an ML-based forecasting solution in under four months, combining no-code XGBoost modeling with custom Python survival modeling and automated scoring, retraining, and monitoring. The result was a 76% reduction in forecast production time, a 4x increase in forecast frequency, and a shift from monthly report production to weekly insights, improving cash flow management and freeing teams to focus on higher-value analysis.

Clayco

Dalston Ward

Senior Data Scientist