Ai-driven requisition optimization to streamline procurement and resource reallocation

A system comprising:

• identifying an item that is associated with a requisition request of a user using a processor and a memory;
• determining whether the user is permitted to request the item based on a set of permissions assigned to the user;
• processing a natural language string of the requisition request using a large language model;
• and
• determining the item based on an inference generated by a fine tuned version of the large language model that is optimized based on requisition phraseology when the natural language string is automatically provided in a context window analyzed by the fine tuned version of the large language model.

An automated ordering method, comprising:

• enabling a user to describe their needs in natural language via a communication medium comprising at least one of an audio input, a video input, a syntax input;
• selecting at least one of a product and a service from an organized database based on an inference generated by a fine tuned version of a large language model that is optimized based on requisition phraseology when the description of needs in natural language is automatically provided in a context window analyzed by the fine tuned version of the large language model;
• generating an automated quote for at least one of the product and the service;
• approving the automated quote;
• and
• sending an order for at least one of the product and the service to a vendor.