There's one question ImpactiveAI has heard most frequently from our customers: "Why did the AI predict this way?" and "What should we do first?" Many voiced frustration about the difficulty of understanding complex demand analysis results and knowing how to apply them in real business operations.
To address these challenges, Deepflow has rolled out a major feature update that makes demand forecasting interpretation simple and provides actionable insights. This update enables anyone to easily understand and utilize complex data analysis results.
The core feature of this update is the automated generation of LLM (Large Language Model)-based demand forecasting data analysis and action plan reports. These capabilities dramatically reduce the time various department teams spend analyzing product demand trends and future forecasting outlooks.
First, it automatically detects seasonal and periodic patterns through three-year historical demand trend analysis. Recent three-month demand trend analysis captures short-term product trends, enabling early detection of surge or decline patterns.
Additionally, it analyzes trends of factors that most significantly impact current products based on external environmental data. It provides clear insights into why these factors influence product sales and what aspects deserve attention going forward.
The system also delivers AI-powered insights on risk and opportunity factors for Sales, Marketing, and SCM teams. It offers customized key insights for each team and department, along with specific, actionable plans to achieve departmental KPIs at the current moment.
Existing Deepflow users frequently requested deeper insights and explainable AI capabilities. Now Deepflow goes beyond simply showing prediction values to provide comprehensive analysis reports that explain why those predictions were generated and what actions should be taken next. This reduces the time workers spend on report creation and data interpretation, allowing them to focus solely on strategic decision-making.
Stockouts leading to lost sales and excess inventory causing unnecessary costs are among businesses' biggest concerns. While maintaining and managing optimal inventory levels is crucial, having people manually manage all product issues leads to repetitive labor and frequent errors.
To solve these problems, Deepflow has completely revamped its BI dashboard in this update.
Smart Monitoring for Instant Issue Detection
The system highlights only products with high probability of issues, making prioritization easy. Without any raw data editing, users can instantly access status checks and visualization materials for reporting, significantly boosting operational productivity.
Corporate operations are significantly influenced not only by internal management but also by external environmental factors. Deepflow continuously crawls over 5,000 macroeconomic indicators, asset and commodity data, climate data, and industry-specific domain data, utilizing all of this in AI modeling.
This update introduces key indicators from this vast external environmental data pool through the MI dashboard, enabling convenient market monitoring for users.
Integrated Monitoring of Key Economic Indicators
The MI dashboard helps companies monitor macroeconomic trend indicators to observe market changes and proactively manage risks based on anticipated movements in exchange rates and oil prices.
Accurate demand analysis has become a critical factor determining survival and growth in modern business management. A 2025 Gartner survey of 251 CFOs worldwide identified 'metrics, analytics, and reporting' as the top priority. 96% of companies acknowledge the importance of data utilization in decision-making, and organizations that actively leverage data show three times better performance in decision-making improvements compared to those that don't.
Research showing that improving demand forecasting accuracy by just 15% can increase pre-tax profits by over 3% has made achieving competitive advantage through accurate sales prediction a realistic goal.
Deepflow employs a system that automatically selects the best-performing model by having over 200 different models compete against each other. It examines 500 million scenarios to identify optimal prediction factors. The system automatically connects with existing ERP systems without complex setup work, with models periodically updated for immediate use in operations.
Most importantly, it doesn't just provide prediction numbers. It identifies risks and opportunities for each department—sales, marketing, supply chain management—and proposes specific action plans that can be implemented immediately to achieve departmental goals. This allows workers to focus on truly important strategic decisions instead of spending time on complex report creation.
The transformation in demand analysis approaches has already begun. With the ability to increase pre-tax profits by 3% through just 15% improvement in forecasting accuracy, and achieve over 300% ROI in the first year, adopting advanced demand forecasting solutions has become a necessity, not an option.
ImpactiveAI's Deepflow is an integrated solution featuring intelligent insight auto-generation, intuitive inventory analysis dashboards, and comprehensive market monitoring capabilities. For industries requiring demand forecasting—including consumer goods, furniture, pharmaceuticals, manufacturing, and steel—it's time to pay attention to the new demand analysis approach that Deepflow presents.
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