Systems and methods for providing self-referencing utilization calculation and dynamic resource allocation based thereon for digital transmissions

A method for real-time cost calculation and smart resource allocation for a digital transmission, the digital transmission comprising a payload and associated with metadata, the metadata comprising a sender of the digital transmission, a size of the digital transmission, and a location of a source of the digital transmission, the method comprising:

• deriving and storing a target resource allocation for each sender from a plurality of senders, wherein deriving the target resource allocation for a sender is based on a historical record of metadata of transmissions from the sender;
• receiving the digital transmission;
• generating a cost estimate based on the metadata of the digital transmission;
• embedding the cost estimate in the metadata of the digital transmission;
• mining, using an artificial intelligence (“AI”) machine-learning neural network, a predetermined set of Internet news sources to obtain information that relates to each sender of the transmission;
• computing a relevancy score based on the information, wherein the relevancy score relates to an increased or decreased level of digital transmissions from the sender;
• allocating digital resources for the digital transmission based on the metadata of the digital transmission and the relevancy score;
• triggering an alert when the digital resources allocated for the digital transmission are more than a threshold difference apart from the target resource allocation for the sender of the digital transmission;
• and
• updating the historical record of the sender of the digital transmission based on the metadata of the digital transmission;
• wherein the allocating digital resources for the digital transmission reserves the digital resources for the digital transmission and prevents overloading of the digital resources.

A computer system with self-referencing transmission cost calculation and dynamic resource allocation, said computer system comprising:

• a target resource module, said target resource module configured to:
• derive and store a target resource allocation for each sender from a plurality of senders, each target resource allocation for a sender derived based on a historical record of metadata of transmissions from the sender;
• mine, using an artificial intelligence (“AI”) machine-learning neural network, a predetermined set of Internet news sources to obtain information that relates to each sender;
• and
• compute a relevancy score based on the information, wherein the relevancy score relates to an increased or decreased level of digital transmissions from each sender;
• a cost-calculation engine, said cost-calculation engine configured to:
• receive a transmission,
• generate a cost estimate based on metadata associated with the transmission, said metadata comprising a sender of the transmission, a size of the transmission, and a location of a source of the transmission;
• and
• embed the cost estimate in the metadata;
• and
• a resource allocation module, said resource allocation module configured to allocate digital resources for the transmission based on the metadata, wherein allocating digital resources for the transmission reserves the digital resources for the transmission and prevents overloading of the digital resources;
• wherein the computer system is configured to:
• trigger an alert when the digital resources allocated for the transmission are more than a threshold difference apart from the target resource allocation for sender of the transmission;
• and
• update the historical record of the sender of the transmission based on the metadata of the transmission.