Predictive Model for Virtual Storage Space Usage
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Solution Overview
Problem
Disorganized storage spaces in warehouses and homes lead to inefficiencies, including unnecessary labor costs, wasted space, and increased stress due to the incorrect use of storage systems, resulting in unoptimized inventory placement and potential item expiry.
Innovation Solution
A predictive model using machine learning and artificial intelligence processes storage space and item attributes, along with user data, to determine virtual usages of storage spaces, generating augmented reality representations for optimal item placement and space utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If forklift operators slot inventory wherever they find empty space without careful consideration of pallet family and size, then they can quickly place inventory without complex decision-making, but the inventory becomes unorganized and reorganization is impossible due to limited warehouse space
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal storage locations for inventory items before they are physically placed. The predictive model analyzes pallet family, size, and storage space characteristics to determine the best locations in advance, allowing forklift operators to simply follow predetermined guidelines rather than making real-time decisions, thus maintaining speed while enabling future reorganization.
Solution Approach 2:
The system creates a virtual copy of the physical warehouse space through the predictive model and augmented reality interface. This digital twin allows for simulation and planning of storage arrangements without physically moving items, enabling optimization of space utilization and reorganization strategies while the physical inventory remains in place.
2Quantity of substance
If storage spaces are not organized according to item characteristics, then space utilization is maximized in terms of quantity, but labor costs increase due to unnecessary searching and stress
Solution Approach 1:
The system applies local quality by customizing storage assignments based on specific item characteristics such as pallet family, size, and usage patterns. Different items are placed in different locations according to their specific requirements rather than using a uniform storage approach, reducing search time and labor costs while maintaining high space utilization.
Solution Approach 2:
The system incorporates feedback mechanisms where the predictive model continuously learns from actual usage patterns and adjusts storage recommendations accordingly. This feedback loop optimizes the balance between storage capacity and retrieval efficiency by adapting to changing operational requirements and item movement patterns over time.
3Ease of manufacture
If storage spaces are disorganized, then initial setup is simpler and faster, but companies experience lost time and increased stress when looking for items
Solution Approach 1:
The system performs preliminary organization by automatically determining optimal storage locations and generating augmented reality guides before items are placed in the warehouse. This pre-planning phase requires minimal manual intervention but creates a highly organized structure that reduces search time and stress during operational phases.
Data Source
AI summary
Provided are a computer program product, system, and method for using a predictive model to determine virtual usages of storage spaces in a storage infrastructure. Information on the storage infrastructure indicates storage spaces in the storage infrastructure, including physical boundaries and usages of the storage spaces and a predictive model used to determine storage spaces for items to store in the storage spaces. The predictive model receives as inputs physical boundaries and usages of a selected storage space. The predictive model processes the inputs to output a virtual usage of the selected storage space within the physical boundaries of the selected storage space. The virtual usage is defined by coordinates in the physical boundaries of the selected storage space. Augmented reality representation overlaying the virtual usage at the coordinates within a view of the selected storage space are generated in a computer display.