| CPC G06Q 10/08345 (2013.01) [G06Q 10/0838 (2013.01); G06Q 30/0283 (2013.01)] | 18 Claims |
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1. A system for generating an integrated pricing package that incorporates attributes associated with a freight shipment that are updated and analyzed in real-time to provide a plurality of customized pricing parameters included in an integrated pricing package, comprising:
at least one processor; and
a memory coupled with the at least one processor, the memory including instructions that, when executed by the at least one processor, cause the at least one processor to:
receive a plurality of requests from a plurality of freight clients to generate the integrated pricing package for each request;
continuously stream intelligent pricing data to a server as the intelligent pricing data continuously fluctuates as captured in a carrier database, a carrier database, and a freight client database;
automatically receive updated intelligent pricing data that is continuously trained on by a neural network based on machine learning as the neural network continuously updates the intelligent pricing data based on past intelligent pricing data generated from past freight shipments;
update in real-time a plurality of carrier attributes associated with a carrier that is transporting each freight shipment for each freight client, wherein the carrier attributes are associated with each different transportation platform provided by the carrier and fluctuate depending on an availability of each different transportation platform;
analyze in real-time the plurality of carrier attributes associated with the carrier to determine the carrier attributes that apply to each freight shipment requested by each freight client to transport by the carrier, wherein real-time is a current state of the plurality of carrier attributes as captured in the carrier attribute database, the carrier database, and the freight client database and streamed to the server;
continuously stream the plurality of carrier attributes as the carrier attributes continuously fluctuate depending on the availability of each different transportation platform as the carrier attributes are accumulated in the carrier database to the server;
generate the plurality of customized pricing parameters for each freight shipment by integrating the updated intelligent pricing data as received from the neural network with the carrier attributes that apply to each freight shipment, wherein the customized pricing parameters are customized to each freight shipment based on the real-time update and analysis of the fluctuating carrier attributes and the updated intelligent pricing data that apply to each freight shipment;
automatically receive a plurality of customized adjustments to the customized pricing parameters as generated by the neural network based on the continuous training of the neural network by machine learning that continuously updates the intelligent pricing data based on past intelligent pricing data generated from past freight shipments due to the continuous stream of intelligent pricing data in real-time to the server;
provide each integrated pricing package to each freight client that incorporates the customized pricing parameters that are customized to each freight shipment; and
stream the intelligent pricing data included in the generated integrated pricing package to the server for the neural network to incorporate into the customized adjustments to additional customized pricing parameters for additional pricing packages as past pricing data.
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