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公开(公告)号：US10565537B1
公开(公告)日：2020-02-18
申请号：US16008914
申请日：2018-06-14
IPC分类号： G06Q10/06 , G06N20/10 , G06F3/0481 , G06N20/00
摘要： Systems and methods for optimizing outcomes in multi-factor systems are described. Business process management, consulting intelligence, business intelligence, mobile intelligence, artificial intelligence, machine learning, and transportation management are integrated, as discussed herein, for optimizing transportation and logistics processes. Users may input legacy knowledge and data such as text, numbers, formulas, algorithms, and automated processes into a computing system for providing the system with industry insights for intelligently analyzing situation contexts, or the system may leverage third-party data. The system may suggest recommended actions based on analyzed situation contexts, and the system may furthermore execute various actions for responding to the situation contexts. The system may be configured to automatically analyze situation contexts and furthermore automatically execute various actions for responding to the situation contexts. In particular embodiments, the system is a software service and may integrate with various computing devices and operating systems.
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公开(公告)号：US10733558B2
公开(公告)日：2020-08-04
申请号：US16792555
申请日：2020-02-17
IPC分类号： G06Q10/06 , G06N20/10 , G06F3/0481 , G06N20/00
摘要： Systems and methods for optimizing outcomes in multi-factor systems are described. Business process management, consulting intelligence, business intelligence, mobile intelligence, artificial intelligence, machine learning, and transportation management are integrated, as discussed herein, for optimizing transportation and logistics processes. Users may input legacy knowledge and data such as text, numbers, formulas, algorithms, and automated processes into a computing system for providing the system with industry insights for intelligently analyzing situation contexts, or the system may leverage third-party data. The system may suggest recommended actions based on analyzed situation contexts, and the system may furthermore execute various actions for responding to the situation contexts. The system may be configured to automatically analyze situation contexts and furthermore automatically execute various actions for responding to the situation contexts. In particular embodiments, the system is a software service and may integrate with various computing devices and operating systems.
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公开(公告)号：US20200184390A1
公开(公告)日：2020-06-11
申请号：US16792555
申请日：2020-02-17
IPC分类号： G06Q10/06 , G06N20/00 , G06F3/0481
摘要： Systems and methods for optimizing outcomes in multi-factor systems are described. Business process management, consulting intelligence, business intelligence, mobile intelligence, artificial intelligence, machine learning, and transportation management are integrated, as discussed herein, for optimizing transportation and logistics processes. Users may input legacy knowledge and data such as text, numbers, formulas, algorithms, and automated processes into a computing system for providing the system with industry insights for intelligently analyzing situation contexts, or the system may leverage third-party data. The system may suggest recommended actions based on analyzed situation contexts, and the system may furthermore execute various actions for responding to the situation contexts. The system may be configured to automatically analyze situation contexts and furthermore automatically execute various actions for responding to the situation contexts. In particular embodiments, the system is a software service and may integrate with various computing devices and operating systems.
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