Delivery Driver Matching System for Large Item Logistics
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Solution Overview
Problem
Customers often refrain from purchasing large store items due to lack of suitable transportation means, such as a large car or truck, which hinders the delivery of these items to their desired locations.
Innovation Solution
A system that matches customer purchases requiring delivery with qualified delivery drivers by using a delivery request application processor to select drivers based on criteria such as vehicle capacity and bid submissions, enabling the delivery of items through a network of available drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If customers purchase large store items, then store sales increase, but customers lack suitable transportation means to transport the items
Solution Approach 1:
The patent introduces delivery drivers as intermediaries between the store and customers. These drivers possess suitable transportation means (vehicles) and serve as a mediating resource that enables customers to purchase large items without needing their own transportation capability. The system matches delivery requests with qualified drivers who have appropriate vehicles, effectively bridging the gap between customer purchase intent and transportation capability.
2Productivity
If the system selects delivery drivers automatically, then delivery efficiency increases, but customer choice and driver qualification accuracy may decrease
Solution Approach 1:
The system performs preliminary actions by pre-establishing driver profiles with detailed qualification data (vehicle type, capacity, location) before delivery requests are made. When a delivery request is received, the system quickly matches it against pre-qualified drivers using automated algorithms, thereby achieving both high efficiency and accurate qualification assessment without requiring real-time manual evaluation.
3Reliability
If the system establishes strict criteria for driver selection, then delivery reliability increases, but the number of available drivers decreases
Solution Approach 1:
The system implements dynamic driver qualification criteria that can be adjusted based on specific delivery requirements. Rather than applying fixed strict criteria to all deliveries, the system flexibly matches driver qualifications to the actual needs of each delivery request (item size, destination, time constraints). This dynamic approach maintains high reliability for each specific delivery while keeping the overall driver pool accessible and expandable.
Data Source
AI summary
A system for delivering store items to a selected destination comprises a store computer that receives selected store item data including a delivery request; a delivery request database that stores the delivery request; and a delivery request application processor that provides a rule that includes criteria for selecting at least one delivery driver and generates a result that identifies a delivery driver of the at least one delivery driver satisfying the criteria of the generated rule.