An AI-based
inventory optimization system implemented as a device for pharmaceutical supply chains. The
system includes: a structural frame defining a plurality of modular storage compartments, each compartment equipped with robotic racks mounted on motorized drive assemblies, the drive assemblies configured to translate
drug containers along three-dimensionally guided rails; an array of environmental sensors arranged in the compartments, the sensors comprising temperature sensors,
humidity sensors, and vibration sensors, each sensor electrically connected to an edge
processing module housed in the frame, the edge
processing module configured to pre-process sensor data using
convolutional neural network models to detect deviations in
cold chain compliance; a
central processing unit comprising at least one GPU or
neural processing accelerator, the
central processing unit executing a
recurrent neural network-based
demand forecasting engine and a
reinforcement learning agent-based optimization engine, the
processing unit generating control signals for redistribution policies that minimize predicted shortages, waste, and regulatory violations; a conveyor-driven dispensing unit operatively connected to the
actuator units, the dispensing unit comprising belt actuators, RFID tag readers, and load sensors, and configured to redistribute goods between compartments or to external dispensing points; a communications gateway that supports both 5G and
LPWAN connectivity protocols for real-
time synchronization with distributed supply chain nodes and cloud servers; and A
blockchain-integrated cryptographic module embedded in the
central processing unit, configured to digitally sign and
record every inventory movement, environmental condition, and redistribution command in a
distributed ledger, thus ensuring immutable
traceability of the
drug inventory.