Attribute-Based Fulfillment Automation for Weight-Based Item Counting

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Solution Overview

Problem

Existing material handling processes in companies are inefficient, costly, and lack automation, leading to significant time and resource wastage.

Innovation Solution

Implementing an attribute-based fulfillment system utilizing autonomous mobile robots, robotic arms, and automated machinery for tasks such as depalletizing, item sorting, packing, and shipping, with integrated imaging and scanning systems for precision and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated systems are implemented, then productivity and efficiency are improved, but device complexity increases

Engineering Contradiction:
Improvematerial handling efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The automated fulfillment system is divided into distinct functional modules including autonomous mobile robots for transport, robotic arms for manipulation, imaging systems for identification, and sortation systems for routing. Each module operates semi-independently, allowing the complex system to be managed through modular components that can be optimized and maintained separately while collectively achieving high productivity in material handling operations.

Inventive Principle:
Principle #1Segmentation

2Loss of time

If automated machinery is used, then time consumption is reduced, but initial costs and implementation complexity increase

Engineering Contradiction:
Improveprocessing timeVSAvoidimplementation complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

Items are scanned, identified, and routed decisions are made while items are in transit on conveyors or being handled by robots, rather than waiting at dedicated sorting stations. This preliminary action approach allows multiple operations to occur in parallel, significantly reducing total processing time despite the complexity of coordinating these preemptive actions across the automated system.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If manual processes are used, then device complexity is low, but productivity and time efficiency deteriorate

Engineering Contradiction:
Improvesystem simplicityVSAvoidfulfillment speed
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The system employs autonomous mobile robots that navigate and transport items without human intervention, robotic arms that automatically manipulate and place items, and imaging systems that autonomously identify and track items. These self-service capabilities eliminate the need for manual labor in material handling tasks, dramatically increasing productivity and fulfillment speed while the system manages its own operations through integrated control systems.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12428230B1Attribute-based fulfillment operations
Publication Date: 2025.09.30 AMAZON TECH INC
  • US12428230B1 patent drawing
  • US12428230B1 patent drawing
  • US12428230B1 patent drawing

AI summary

Attribute-based fulfillment operations may comprise various stations and processes between inbound receive and outbound transfer that may decant, count, sort, pick, pack, and ship items based on various attributes. In order to enable such operations, accurate and reliable item counts within the system are generated and maintained at least partially automatically based on item weights. In addition, ordered or outbound items may be initially automatically sorted based on their packing types to facilitate automated packing processes, and the packages may be subsequently automatically sorted for outbound transfer based on their destinations.