Autonomous Storage Units Dynamic Inventory Organization

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Solution Overview

Problem

Current inventory automation systems in retail settings lack intelligent robots that can dynamically respond to inventory demands and provide a personalized shopping experience, as they are limited in intelligence and functionality, unable to sense inventory levels or prioritize items based on customer preferences and environmental conditions.

Innovation Solution

A system comprising autonomous storage units equipped with navigation, sensing, and control devices, which can identify inventory levels, determine optimal arrangements based on various factors, and reorganize themselves to meet customer needs and inventory demands, including using image recognition and RFID technology for inventory management and payment processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If current automation robots are deployed in retail settings, then inventory handling and transport is improved, but the robots lack intelligence and cannot dynamically respond to inventory demands or provide personalized shopping experiences

Engineering Contradiction:

Improveinventory handling efficiencyVSAvoidrobot intelligence and responsiveness

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The autonomous storage units continuously monitor inventory levels, customer preferences, and environmental conditions through sensors and communication devices. This feedback loop enables the robots to dynamically adjust their behavior, prioritize items based on real-time data, and provide personalized shopping experiences while maintaining high inventory handling efficiency

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system transitions from static, pre-programmed robot operations to dynamic, adaptive autonomous storage units that can reconfigure their behavior in real-time. The robots dynamically respond to changing inventory demands, customer preferences, and environmental conditions, transforming them from simple transport devices to intelligent inventory management systems

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If traditional labor force is used for inventory management, then flexibility and adaptability are maintained, but uptime and revolving costs are higher compared to automation

Engineering Contradiction:

Improveflexibility in inventory managementVSAvoidsystem uptime and operating costs

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The autonomous storage units independently manage inventory tasks without human intervention. They self-navigate, self-organize, and autonomously respond to inventory demands, maintaining system uptime and reducing operating costs while preserving the flexibility needed for dynamic inventory management through their autonomous decision-making capabilities

Inventive Principle:

Principle #25Self-service

3Ease of operation

If robots with limited intelligence are used for inventory transport, then basic transport functions are achieved, but the system cannot prioritize items based on customer preferences or respond to environmental conditions

Engineering Contradiction:

Improvebasic transport functionalityVSAvoidintelligent response to inventory demands

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The autonomous storage units are designed with multi-functionality, combining basic transport capabilities with advanced sensing, navigation, and decision-making systems. This universal design enables the robots to perform both simple item transport and complex tasks such as prioritizing items based on customer preferences, monitoring environmental conditions, and dynamically adjusting inventory organization

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12014321B2Systems, methods, computing platforms, and storage media for directing and controlling an autonomous inventory management system in a retail control territory

Publication Date: 2024.06.18 PRIME ROBOTICS INC

AI summary

Systems, methods, computing platforms, and storage media for dynamically organizing autonomous storage units in a retail control territory are disclosed. Exemplary implementations may identify a plurality of autonomous storage units, wherein each autonomous storage unit is configured to hold one or more inventory items; identify an inventory level for each of the plurality of autonomous storage units; determine a first arrangement for the plurality of autonomous storage units based in part on one or more first factors; organize the plurality of storage units in the first arrangement; identify one or more second factors; determine a second arrangement for at least a portion of the plurality of autonomous storage units based on the one or more second factors; and direct the at least the portion of the plurality of autonomous storage units to organize in the second arrangement.