The platform continuously monitors price fluctuations across key steel industry raw materials such as iron ore, copper, and nickel. Deepflow’s AI models also learn from Black Swan events—including tariffs, wars, and other sources of market disruption—to deliver more precise forecasting under uncertain conditions.

To proactively respond to fluctuations in rebar prices, one of the most critical cost drivers in construction materials, Deepflow AI has been trained on integrated datasets including construction market indicators, government budget data, and supply-demand dynamics. During a live test conducted from May to July 2025, the model achieved an average rebar price forecasting accuracy of 95.59%, providing practical, data-driven guidance for procurement timing and long-term project cost risk management.