Plan with confidence
The effectiveness of static forecasting models is undermined by how quickly they become outdated. Controllers often have to adjust plans to market fluctuations through heavy, manual processes.
The imperative is to improve decision speed and forecast accuracy by integrating the impact of exogenous macroeconomic variables.
Predicta turns planning into a dynamic process: by automating the integration of real economic data into corporate models, it ensures projections remain continuously updated and reliable, eliminating the need for recurring manual interventions.
Hybrid Machine Learning
Predicta brings planning into the era of adaptive AI.
• Macroeconomic Integration: It combines your internal historical data with external, real-world economic indicators, selected automatically. It blends quantitative information with Machine Learning algorithms and converts qualitative data into quantitative signals, enabling effective inclusion in ML-based analysis processes.
• Pattern Recognition: It uses Machine Learning to uncover hidden correlations between your business and the market, generating explainable and reliable predictive scenarios. The model doesn’t just output numbers – it makes them speak, explaining why that forecast was produced and the key drivers behind it.
• Scalable Architecture: The model evolves with your business, enabling continuous re-forecasting without having to rebuild the entire system at every cycle.
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Book a free Demo.