Partners
AI-Driven Demand Forecasting
The Challenge
Rio Tinto Aluminium is redefining its demand planning capabilities by advancing from traditional statistical models to next-generation AI forecasting — a transformative step toward building a smarter, more agile supply chain for the Canadian aluminum industry. In collaboration with IVADO Labs, this initiative captures predictive insights into evolving market segment trends, enabling Rio Tinto to anticipate change and lead proactively rather than reactively.
By generating more accurate short- and long-term forecasts at weekly and monthly intervals across alloys, regions, and customer segments, the solution enhances agility and alignment between production and market demand. It leverages sophisticated, predictive, AI models and explores deep learning approaches to detect complex, intermittent demand patterns and deliver actionable foresight.
Forecasts are accessed through a powerful expert-facing interface that allows manual adjustments with full traceability, fusing AI with human expertise. Benefits include alloy cost savings, reduction in aluminum inventory, improved asset utilization generating additional tons of value-added products, and lower overproduction and transport inefficiencies — all reinforcing innovation, sustainability, and competitive advantage.
Made possible through the
financial support of
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