The claims describe a computer system designed to manage transportation plans. Specifically, it receives a request to "reduce a c" (the meaning of "c" is not specified) and then reassigns loads that were previously assigned to schedules that are being removed. This helps adjust transportation plans when existing schedules change or are cancelled.
Why it matters: The invention addresses dynamic logistics adjustments, which have seen significant advancements in AI-driven optimization and real-time data processing since 2020. Modern machine learning models can now handle complex, reactive load reassignments with greater efficiency.
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