MetaForecast aggregates data from multiple sources, including historical sales, economic indicators, geopolitical events, and market sentiment analysis from news and social media.

It employs machine learning algorithms to identify patterns and predict demand with high accuracy.

The platform integrates seamlessly with existing ERP systems to provide an automated, real-time dashboard that offers predictive insights and scenario simulations, enabling companies to make informed decisions about production and inventory levels.

Offering up-to-the-minute forecasting accuracy, MetaForecast reduces the risk of overproduction and stockouts, thus saving significant operational costs and improving profitability.

Its integration with existing systems ensures minimal disruption while enhancing decision-making processes.

The core technology leveraging AI and big data analytics is ready and tested across industries, although customized algorithms for metals will require specialized development.

Costs are moderate, primarily focused on data acquisition and integration, with minimal regulatory hurdles expected as the platform operates within established data privacy standards.