Automated Package Grouping and Route Optimization
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Solution Overview
Problem
Conventional systems for delivering packages are inefficient due to manual grouping of packages by delivery address, leading to increased delivery time and reduced customer satisfaction, as well as suboptimal route planning for delivery workers.
Innovation Solution
A computer-implemented system that automatically assigns packages to groups based on delivery addresses and generates maps for display on user devices, providing real-time route recommendations and delivery instructions to enhance delivery efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual grouping of packages by delivery address is used, then delivery workers can organize packages, but delivery time increases and productivity decreases
Solution Approach 1:
The patent replaces the manual mechanical grouping process with an automated computerized system that uses algorithms to group packages by delivery address. The system automatically processes delivery addresses, groups packages into routes, and generates optimized delivery sequences, eliminating the need for workers to manually sort and organize packages.
Solution Approach 2:
The system performs preliminary grouping and route optimization before delivery workers begin their routes. Packages are pre-organized into delivery groups with optimized sequences determined in advance, allowing workers to simply follow the pre-planned routes without making decisions during delivery.
2Loss of information
If delivery workers manually review package lists, then they can see delivery information, but significant time is consumed and productivity is reduced
Solution Approach 1:
The system creates digital copies of delivery information in the form of optimized route maps and electronic package lists that are automatically generated and distributed to workers. These digital copies contain all necessary delivery information in an easily consumable format, eliminating the need for workers to manually review and interpret raw data.
3Ease of operation
If delivery workers visit buildings in non-optimized sequences, then all deliveries can be made, but unnecessary travel increases and time is wasted
Solution Approach 1:
The system implements dynamic route optimization that considers real-time factors such as traffic conditions, delivery priorities, and geographic locations. The optimized sequences are continuously adjusted to minimize travel time while ensuring all deliveries are completed, adapting to changing conditions during the delivery process.
Data Source
AI summary
The present disclosure provides systems and methods for delivering packages to customers, comprising a memory storing instructions and a processor configured to execute the instructions to receive, from a first user device in a fulfillment center, a package identifier associated with a package for delivery to a customer, modify a database to assign the package identifier to a group, among a plurality of groups, based on a delivery address associated with the package identifier and a location of a camp to which the package is routed, generate a map of the plurality of groups, send the map for display on a second user device in the camp, and send for display an activatable icon on a location on the map, wherein the location of the activatable icon on the map is associated with the delivery address of the package.