Meterials
Reduce Raw Material Procurement Costs
Forecast future raw material price movements more accurately with AI and gain procurement decision support for purchase timing and cost-risk review.
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Reduce Costs and Shorten Order Planning Time by Solving Inventory Overstock and Stockout Challenges

Max Forecast Accuracy
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Support cost reduction through forecasting accuracy that supports more informed procurement decisions with AI-based price forecasts.
Forecasted Commodities
Steel
Non-Ferrous Metals
Energy
Chemicals
Agricultural Commodities
Steel
Provide forecasting results and customized support for key raw materials including steel and non-ferrous metals.
Variables Utilized
Production Data
Consumption Data
Import
Export Data
Economic Indicators Events
Climate Factors
Production Data
Improve forecasting accuracy by leveraging a wide range of variables that influence price movements.
Commodity Price Forecasting

Use Market Insights to
Improve Raw Material Purchase Timing

품목별 수요예측 결과 제공
향후 6~12개월 수요를 그래프로 한눈에 확인
Provide both short-term and mid-term raw material price forecasts
View forecasting results at a glance through intuitive dashboards
Driver Analysis

Identify Key Factors Behind
Price Movements at a Glance

Market and Price Analysis
Explain price drivers including FX and supply chain factors
Analyze price trends in an easy-to-understand way based on key drivers, indicators, and market signals that influence price movements.
Detailed Analysis
Analyze correlations, time-lag relationships, and causal factors in one view
Provide detailed factor analysis and correlation insights for the variables that influence raw material prices.
Analysis Tools

Read Short-Term Price Signals for Procurement Timing

Predict one-week price direction across five levels, from bullish to bearish, with probability scores for each scenario
Quantitatively interpret market conditions by scoring four key indicators: direction, volatility, trend strength, and trend persistence

Monitor Price Risk Across Essential Raw Materials

From raw materials such as steel, non-ferrous metals, energy, and agricultural commodities to financial indicators like exchange rates, Deepflow supports cost reduction through forecasting accuracy that surpasses leading global forecasting institutions.
Iron Ore 97.1%
Nickel 95.4%
Copper 95.5%
Aluminum 98.6%
Average price forecasting accuracy of 95.5% across seven raw material categories based on an 8-week test set
(Actual values: blue line / Forecast values: purple line)
Build Smarter Procurement Strategies

Turn Forecasting Into
Measurable Cost Savings

Deepflow goes beyond delivering forecasting results — enabling companies to identify optimal raw material purchasing timing and achieve meaningful cost savings in real-world procurement operations.
FAQ
Q. Which materials can currently be forecasted? Can additional materials or exchange rates also be added?
Deepflow currently provides price forecasting for a wide range of materials, including steel-related commodities (iron ore, steel scrap, coking coal), non-ferrous metals (copper, aluminum, nickel), precious metals, energy commodities (such as crude oil), and agricultural products (including soybeans, corn, and cheese). Additional materials not currently covered may also be added if forecasting feasibility can be validated. Please note that new materials require the development of a dedicated forecasting model, which may involve a one-time development cost.

Q. Is customized price forecasting available?
Yes, customized forecasting services are available. Please contact us through the website inquiry form or by phone (+82-2-563-9877). Deepflow provides tailored forecasting services based on each client’s needs, market conditions, and the characteristics of the target materials.
Q. How are price direction forecasts provided?
Price direction forecasts are provided as percentage changes (%) between the current price (based on the previous trading day) or the current cumulative monthly average price and the forecasted prices for the next 3 and 6 months.
Q. What is the expected margin of error for price forecasts?
Forecast accuracy may vary depending on market conditions and external variables. In general, shorter forecasting periods tend to have smaller error ranges, while longer forecasting horizons naturally involve greater uncertainty.
Q. How can companies utilize price forecasting results?
Forecasting insights can help companies determine optimal purchasing timing and reduce procurement costs. For example, businesses may decide to purchase in advance when prices are expected to rise, or delay purchases and establish hedging strategies when prices are expected to decline.
Deepflow rapidly responds to market volatility by incorporating international spot and futures exchange data along with various economic indicators. The platform also provides insights into procurement strategies through analysis of the key drivers behind price movements for each material.
Q. How is forecast model performance managed?
Forecast models are continuously monitored on a monthly, quarterly, and semi-annual basis. When forecasting performance falls outside predefined evaluation criteria or new market variables emerge, Deepflow performs actions such as model updates and recalibration.
Q. When are forecasting results provided?
Monthly forecasts are released twice per month (on the 20th and on the third business day of the following month), while weekly forecasts are provided once every Monday.
Q. How is the subscription pricing structured?
The subscription structure for the Deepflow Materials (Raw Materials Price Forecasting) solution consists of essential content packages (including news, dashboards, and analytical tools) combined with optional content packages (forecasting items/materials). Please contact us for detailed pricing information.
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