Method and System for Optimizing Last-Mile Product Delivery

ChangeBridge: Patent Apps - Business Methods (G06Q)

Detected March 26th, 2026

Summary

The USPTO has published a patent application detailing a method and system for optimizing last-mile product delivery using crowd-sourced providers. The application describes a system that matches delivery orders with provider capabilities and dynamically determines delivery regions based on real-time factors.

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What changed

This document is a patent application (US20260087444A1) filed with the USPTO, describing a novel method and system for optimizing last-mile product delivery. The proposed system leverages crowd-sourced delivery providers by allowing them to register vehicle specifications and delivery preferences. It then dynamically determines delivery regions and compatibility scores based on real-time order data and provider capabilities, generating optimized delivery tours.

While this is a patent application and not a regulation, it outlines a technological approach that could impact logistics and delivery operations. Companies involved in last-mile delivery, particularly those utilizing gig economy platforms, may find the described optimization techniques relevant to their operational strategies. No immediate compliance actions are required as this is a patent filing, not a regulatory mandate.

Source document (simplified)

← USPTO Patent Applications

METHOD AND SYSTEM FOR OPTIMIZING LAST-MILE PRODUCT DELIVERY USING CROWD-SOURCED DELIVERY-SERVICE PROVIDERS

Application US20260087444A1 Kind: A1 Mar 26, 2026

Inventors

Eugene Amigud, Omar Akilah, Balaji Natarajan

Abstract

A method and system for last-mile product delivery is disclosed. The system allows each delivery-service provider of a platform of crowd-sourced delivery-service providers, to register vehicle specifications and delivery preferences including maximum delivery per trip. The system receives delivery orders within a predetermined time window, and dynamically determines delivery regions based on real-time factors of the delivery orders. Compatibility scores are determined by matching product handling requirements of the delivery orders with registered vehicle specifications. Multiple sequential delivery tours for individual delivery-service providers are generated within the single time window based on delivery-service provider specified maximum deliveries per trip, the compatibility scores, and the dynamically determined delivery regions. Finally, delivery assignments to the selected delivery-service providers are triggered based on the generated delivery tours.