Overview

Logility Demand Sensing applies advanced AI and machine learning to improve near‑term forecast accuracy by up to 30%, enhancing visibility into real‑time demand signals such as orders, POS data, inventory levels, and external factors. It empowers businesses to shift from reactive firefighting to proactive inventory and demand planning—reducing stockouts, minimizing excess inventory, and boosting customer satisfaction

Features and Capabilities

• AI‑Enhanced Forecasting: Merges traditional demand plans with real-time signals and machine learning to improve forecast accuracy by ~30% .
• Multi-Source Data Integration: Ingests demand plan, orders, channel inventory, sell-out, POS, weather, macro trends, promotions, and social sentiment .
• Automated Anomaly Detection: Identifies and surfaces demand pattern anomalies—promotions, seasonality, disruptions—for proactive adjustments
• Real-Time Responsiveness: Enables weekly or even daily forecast refreshes, helping companies adapt quickly to demand shifts and protect margins .
• Explainability & Consensus Support: Validates and refines consensus forecasts with explainable analytics that build stakeholder confidence .
• Operational Alignment: Connects forecasting with inventory, supply, and allocations for synchronized, cross-functional decision-making .