Depot dispatch protocol for aggregating on-demand deliveries

This invention describes a system for tracking on-demand deliveries, particularly for perishable goods. A central server receives real-time updates from merchants and delivery personnel about key events in an order's journey. These event timestamps are then fed into a neural network to automatically calculate and update the estimated delivery time for the customer.

Why it matters: Since 2020, advancements in machine learning frameworks and cloud-based AI services have significantly lowered the barrier to entry for developing and deploying neural networks. This makes the predictive ETA component, which relies on a neural network, more feasible and potentially more accurate to implement today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, neural network, server infrastructure.

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