The invention discloses an industrial agent-driven
dynamic resource allocation AI marketing and production
collaboration system, which comprises a multi-role cognitive interaction module, a
product modeling and value grading module, a multi-scene digital twin module, a
transaction data capitalization module and a full-channel sales attribution module, and an industrial cluster agent module, a
big data prediction model module, a cloud center scheduling module, an
edge node calculation module and a three-brain fusion decision module. The
system integrates a multi-dimensional
data acquisition module, realizes multi-subject data intercommunication in a cluster in combination with an industrial cluster agent module, completes full-amount data fusion by a cloud center, and realizes accurate pre-judgment of market and production trends in cooperation with a
big data prediction model module, thereby providing a quantitative basis for
decision making. A full-link
closed loop of
data acquisition-fusion-prediction-decision-execution-feedback is formed, the resource configuration efficiency and decision scientificity are improved, and the problems of production and marketing
data splitting, collaborative response lagging and the like are solved.