This invention describes a way to plan for staffing or resource needs when you don't have all the information yet. It first uses computer-generated, fake bids based on past trends to see if a proposed plan is realistic. If the fake bids suggest the plan will work, it then asks for real bids from actual resources. If those real bids also fit the plan, it finalizes and publishes the resource assignments.
Why it matters: Filed before the widespread adoption of advanced AI and machine learning, particularly for predictive analytics. The ability to probabilistically generate simulated bids based on historical patterns, as described in the claims, has become significantly more sophisticated and accessible since 2022, making the core evaluation step more robust.
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