| CPC G06Q 10/083 (2013.01) | 16 Claims |
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9. A system for facilitating managing of supply chains of items, the system comprising:
a communication device configured for:
receiving at least one supply chain data associated with a supply chain of at least one item from at least one device, wherein the supply chain comprises a transportation of the at least one item; and
transmitting at least one recommendation to the at least one device;
a processing device communicatively coupled with the communication device, wherein the processing device is configured for:
obtaining at least one additional data associated with the supply chain based on the at least one supply chain data;
analyzing the at least one additional data using at least one machine learning model based on the at least one supply chain data, wherein the at least one machine learning model further identifies conditions affecting the transportation of the at least one item and measures an impact of the conditions on the transportation of the at least one item, wherein the at least one supply chain data comprises at least one geographical region data of at least one geographical region associated with the transportation of the at least one item, wherein the at least one additional data comprises at least one weather data of at least one weather of the at least one geographical region, wherein the analyzing of the at least one additional data using the at least one machine learning model based on the at least one supply chain data comprises analyzing the at least one weather data using the at least one machine learning model based on the at least one geographical region data, wherein the at least one weather data comprises a plurality of weather conditions of the at least one geographical region, wherein the plurality of weather conditions comprises each of a temperature related condition, a precipitation related condition, a wind related condition, a storm related condition, and a visibility related condition;
determining a degree of the impact of one or more conditions based on the analyzing of the at least one additional data;
generating at least one embedding for the at least one weather data of the at least one geographical region using an encoder model of the at least one machine learning model based on the analyzing of the at least one weather data using the at least one machine learning model;
querying a vector database comprising a plurality of historical embeddings of at least one historical weather data of at least one historical weather of the at least one geographical region based on the at least one embedding;
obtaining at least one historical embedding from the vector database based on the querying;
generating a prediction of a weather event for the at least one geographical region based on the analyzing of the at least one weather data using the at least one machine learning model, wherein the generating of the prediction of the weather event comprises generating the prediction of the weather event using a transformer model of the at least one machine learning model based on the at least one embedding and the at least one historical embedding;
determining a disruption in the supply chain based on the analyzing of the at least one additional data, wherein the determining of the disruption in the supply chain is further based on the generating of the prediction of the weather event, wherein the determining of the disruption in the supply chain is further based on the degree of the impact of the one or more conditions; and
generating the at least one recommendation for mitigating the disruption in the supply chain based on the disruption; and
a storage device communicatively coupled with the processing device, wherein the storage device is configured for storing the at least one additional data.
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