This 2025 brief introduces Brillio’s ADAM Demand Forecasting solution, arguing that volatile demand and supply chain shocks make periodic, siloed forecasting too slow and rigid, leading to lost revenue and excess inventory. ADAM applies self-learning AI agents for real-time demand sensing, scenario planning, predictive analytics, multi-horizon visibility, and automated orchestration that can trigger actions across inventory, capacity, labor, and fulfillment. It presents an AI-native four-layer architecture that unifies multimodal signals (sales, inventory, promos, ops constraints, external factors, clickstream) into a data fabric with a semantic ontology and feature store, enabling continuous recalibration with explainability, security, and governance.

Join for free to read