임팩티브 AI

What 임팩티브 AI does

Impactive AI develops AI enterprise solutions for businesses, applying world-class AI prediction models across the entire product lifecycle, from launch to discontinuation. They provide a decision support system that enables proactive responses through forecasting. Their Deepflow platform helps companies minimize unnecessary inventory costs and transform uncertainty into a predictable future. They aim to solve pressing challenges and generate remarkable value through technological expertise.

Products

• Deepflow ForecastProvides accurate sales forecasts for 6 to 12 months using advanced AI models and external data, tailored to industry-specific characteristics. It helps reduce inventory costs by identifying overstock and stockout risks earlier, supports production planning, and offers AI-powered decision reports.
• Deepflow MaterialsReduces raw material procurement costs by forecasting future raw material price movements more accurately with AI. It provides procurement decision support for purchase timing and cost-risk review, offering both short-term and mid-term price forecasts through intuitive dashboards.
• Deepflow NPDValidates new product potential before launch, enabling data-driven decisions from product planning to validation. It reduces failure risk by using LLM agent-based preference research, data-driven idea generation, and forecasting first-quarter sales performance for new products.

Key capabilities

• Advanced AI Models (200+ forecasting models)
• Integration with 50,000+ external environmental datasets
• Proprietary AI technologies including Black Swan methodologies and quantum AI applications (70+ AI patents)
• Demand Forecasting (6-12 month sales and shipment forecasts by item)
• Inventory Management (monitor overstock and stockout items)
• Forecast Driver Analysis (explain drivers, identify risks, recommend actions)
• S&OP (build sales and production plans based on AI forecasting)
• AI Forecasting Dashboard (for raw material information and analytical insights)
• Indicator-Based Price Analysis (for raw material price movements)
• Market Signals for Purchase Decisions (based on macroeconomic and supply-demand news)
• Explainable Causal Analysis (for raw material price insights)
• Commodity Price Forecasting (short-term and mid-term)
• Driver Analysis (identify key factors behind price movements)
• Detailed Analysis (correlations, time-lag relationships, causal factors)
• Analysis Tools (read short-term price signals for procurement timing)
• Monitor Price Risk Across Essential Raw Materials
• LLM Agent-Based Preference Research (for new product validation)
• Data-Driven Idea Generation (for new products)
• First-Quarter Sales Forecasting for New Products
• AI-Powered Decision Reports (LLM-powered forecasting reports)
• Automated selection from over 200 predictive AI models
• Non-linear time series modeling (for raw material price prediction)
• Attention-based structure (for model interpretability)
• External indicator-linked modeling (for market changes)
• Periodic retraining and feedback loops (for continuous model improvement)

Use cases

• Supply chain decision making
• Demand forecasting
• Raw materials price forecasting
• New product potential validation
• Inventory cost reduction
• Product order planning time reduction
• Overstock and stockout issue reduction
• Optimal order quantity generation
• Sales and production planning (S&OP)
• Procurement timing improvement
• Risk management (for raw materials)
• SKU-level demand forecasting
• Inventory optimization
• Production planning support
• Forecast driver analysis
• Cannibalization effect management in retail
• Real-time inter-product impact analysis
• Asset price prediction and portfolio optimization in securities
• Consumer preference forecasting for new products
• New product idea generation
• Sales forecasting for new products before launch
• Strategic change management for AI adoption

AI approach

Impactive AI develops enterprise AI solutions, primarily focusing on predictive AI for supply chain decisions, including demand forecasting, raw materials price forecasting, and new product development validation. They use advanced AI models, including proprietary technologies like Black Swan methodologies and quantum AI applications, and integrate over 50,000 external environmental datasets. Their approach involves comparing multiple forecasting models (200+) to select the best fit for each use case, utilizing LLM-powered analytics for reports, and incorporating Agentic AI for autonomous demand orchestration. They also use deep learning algorithms like XGBOOST, LSTM, and Transformer models for complex time-series predictions.

Tech named: AI, Machine Learning, Deep Learning, Predictive AI, Quantum AI, Black Swan methodologies, LLM (Large Language Model), Agentic AI, XGBOOST, LSTM (Long Short-Term Memory), Transformer models, Bayesian extension models, GMDH Streamline, Bass Diffusion Model, Generative AI, Generalized Additive Mixed Models

Industries served

• Manufacturing
• Food Industry
• Steel Industry
• Pharmaceutical Industry
• F&B
• Retail
• Construction
• Secondary Battery
• Financial Industry
• Banking Sector
• Card Industry
• Securities Industry
• Fashion
• Healthcare

What it says sets it apart

• World-class AI prediction models applied across the entire product lifecycle
• Deepflow platform minimizes unnecessary inventory costs and transforms uncertainty into a predictable future
• Advanced AI Models: Compares 200+ forecasting models to select the best-fit approach for each item and use case
• Data Integration: Automatically integrates customer data with more than 50,000 external environmental datasets
• Proprietary AI Technologies: 70+ AI patents, including Black Swan methodologies and quantum AI applications
• High Accuracy: Average price forecasting accuracy of 95.5% across seven raw material categories; up to 98.5% for specific materials like aluminum
• Actionable Forecasts: Focus on influencing decisions early enough to create business value, not just accuracy
• LLM-Powered Analytics: Automates report generation for historical sales trends, seasonal patterns, demand outlook, and tailored action plans
• Probabilistic Forecasting: Presents a spectrum of possible outcomes for risk management, hedging against extreme situations
• Customized Solutions: Tailored forecasting services based on client needs, market conditions, and target materials
• Expert-level causal analysis and insights for raw materials
• Ability to predict new product sales with limited or no historical data using analogy-based forecasting and LLM-based virtual consumer surveys
• Structured, data-driven approach to decision-making over intuition
• Focus on reducing human and process factors in AI implementation failures through strategic change management

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.