Traditional forecasting methods often rely on planner intuition or statistical techniques based on limited recent data. In contrast, Deepflow’s AI demand forecasting analyzes complex correlations across data using multiple AI models to generate forecasts that can support inventory, order, and S&OP decisions.Beyond internal sales data, Deepflow incorporates external variables such as macroeconomic indicators, weather conditions, and oil prices to improve forecasting precision. Unlike conventional approaches dependent on human experience and intuition, Deepflow enables objective, data-driven decision-making at scale — significantly improving inventory cost efficiency.

Yes. Impactive AI has already demonstrated proven results across multiple industries. One consumer goods and distribution company achieved forecasting accuracy exceeding 90%, while implementations at a steel company and a pharmaceutical company resulted in inventory cost reductions of KRW 21 billion and KRW 2.48 billion, respectively. Because forecasting models are customized to SKU-level sales and shipment patterns, Deepflow can achieve high forecasting accuracy regardless of industry or product type. However, sufficient data quality and volume are important, so a preliminary data assessment is conducted before implementation to evaluate forecasting feasibility.

Yes. If your ERP system provides APIs, Deepflow can work with ERP data through API integration or Excel-based upload/export workflows.Forecast results are provided through intuitive web-based dashboards, with Excel export functionality available when needed. For companies using ERP systems without API support, or organizations with limited internal IT resources, Deepflow also supports Excel-based data uploads (xls, csv).

Absolutely. Deepflow’s AI models automatically learn seasonal patterns from historical data and can incorporate events such as holidays, promotions, and weather conditions into forecasts.Additional external variables — including economic indicators and industry-specific datasets — can also be integrated for more advanced forecasting. Deepflow is currently conducting experiments to incorporate unstructured data such as Black Swan events into forecasting models as well. Through this multi-dimensional analysis, Deepflow delivers practical business insights beyond simple historical trend projections.

Raw material price forecasting helps companies determine optimal purchasing timing and reduce procurement costs. Deepflow forecasts six-month price trends for key materials such as iron ore, nickel, and copper with accuracy levels reaching up to 98.6%.If price increases are expected, companies can purchase in advance; if declines are anticipated, purchases can be delayed or hedging strategies can be implemented. By incorporating real-time international futures exchange data and macroeconomic indicators, Deepflow responds quickly to market volatility while also providing insights into the key drivers behind raw material price movements.

Impactive AI focuses exclusively on demand and price forecasting, with a core research team that has accumulated more than 15 years of domain expertise in forecasting technologies.Today, the company possesses one of the world’s largest forecasting model portfolios, with 224 time-series forecasting algorithms and 61 filed patents related to forecasting technologies. Deepflow’s capabilities have also been validated through collaborations with leading enterprises including Samsung Electronics, SK Telecom, and Lotte.Beyond delivering software alone, Deepflow’s greatest strength lies in developing customized advanced forecasting AI models tailored to each client’s business environment and continuously improving model performance over time.

Yes. Deepflow provides Explainable AI (XAI) capabilities through an LLM-powered, user-friendly experience designed for operational teams.The platform analyzes key drivers that influence forecasts — including macroeconomic indicators, industry-specific datasets, and promotional factors — while also generating reports covering historical sales trends, forecast interval analysis, and recommended action plans for business teams.Rather than manually building complex analytical reports, users can simply leverage automatically generated insights from Deepflow to support faster and more informed decision-making.