demand-sensing-integrator

# Demand Sensing Integrator ## Overview The Demand Sensing Integrator captures and processes real-time demand signals from multiple sources including point-of-sale data, channel inventory, weather patterns, social media sentiment, and economic indicators. It enables short-term forecast enhancement by detecting demand pattern changes faster than traditional forecasting methods. ## Capabilities - **POS Data Ingestion**: Real-time point-of-sale data collection and cleansing - **Channel Inventory Visibility**: Multi-channel inventory position integration - **Weather Impact Correlation**: Weather-driven demand adjustments - **Social Media Sentiment Analysis**: Consumer sentiment signal extraction - **Economic Indicator Integration**: Macro-economic factor incorporation - **Market Intelligence Feeds**: Competitor and market signal processing - **Near-Term Demand Adjustment**: Short-horizon forecast corrections - **Signal-to-Noise Filtering**: Distinguish meaningful signals from noise ## Input Schema ```yaml sensing_request: signal_sources: pos_data: object # Point-of-sale feeds channel_inventory: object # Inventory by channel weather_data: object # Weather forecasts/actuals social_signals: object # Social media data economic_indicators: object # Economic data feeds baseline_forecast: object # Current forecast to adjust sensing_horizon: integer # Days/weeks to sense sensitivity_thresholds: object # Si...