LATIDIA · Investigación

Un marco híbrido de IA para el análisis inteligente de la cadena de suministro

arXiv: 2609.13561v1Tipo de anuncio: nuevo Resumen: La utilización eficiente del análisis de la cadena de suministro para la toma de decisiones sigue siendo un desafío importante para los planificadores, ya que las tareas críticas como la consulta de bases de datos, el rendimiento clave

La noticia

arXiv:2609.13561v1 Announce Type: new Abstract: Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indicator (KPI) analysis, demand forecasting, and performance diagnosis require heterogeneous expertise spanning data engineering, operations research, and domain knowledge. In this work, we propose an agentic system for supply chain analytics that bridges the gap between business decision-making and technical expertise, where a coordinator agent interprets user intent and delegates sub-tasks to specialized agents. The system supports both exploratory analysis and deterministic workflows, enabling planners to transition between ad hoc questions and structured processes. Domain logic is encapsulated within specialist agents