Floorplan Category Placement With Infeasibility Error Detection

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Solution Overview

Problem

Existing floorplan generation solutions require manual input and are time-consuming, leading to increased costs and reduced flexibility in responding to demand fluctuations, with a lack of automated error detection and recommendation for category placement.

Innovation Solution

A system and method for generating floorplans that automatically assign categories, detect errors, and present them to users, including a processor configured to receive category placement parameters, determine floorplans, and identify infeasibility errors, with an error notification, and request updated category placement parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual floorplan preparation is used, then personnel can control the floorplan generation process, but the process becomes time-consuming and increases costs

Engineering Contradiction:

Improvecontrol over floorplan generationVSAvoidtime to prepare floorplans

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs automatic error detection, infeasibility identification, and category placement optimization without requiring manual intervention. The processor autonomously analyzes floorplan parameters, detects errors, and generates recommendations, allowing the system to serve itself rather than requiring personnel to manually prepare and validate each floorplan.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes (personnel reviewing and preparing floorplans) with an automated computational system. The processor executes algorithms to automatically detect errors, validate floorplan feasibility, and optimize category placements, substituting human effort with machine-based automated analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual floorplan preparation is used, then detailed errors can be detected, but the process requires constant user inputs and feedback

Engineering Contradiction:

Improveerror detection capabilityVSAvoiduser interaction requirements

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system implements automated feedback loops where the processor continuously monitors floorplan parameters, detects errors, and generates recommendations. The system provides feedback on infeasibility conditions and error conditions without requiring manual user inputs, automatically adjusting and refining floorplan proposals based on detected issues.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The error detection and validation process operates autonomously without requiring constant user intervention. The processor self-validates floorplan parameters, detects infeasibility conditions, and generates corrective recommendations independently, eliminating the need for personnel to manually check each aspect of the floorplan.

Inventive Principle:

Principle #25Self-service

3Productivity

If automated floorplan generation is implemented, then productivity increases, but computation resources and iterations are required

Engineering Contradiction:

Improvefloorplan generation speedVSAvoidcomputation resources

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary validation and error detection during the floorplan generation process itself, rather than requiring separate post-processing steps. The processor identifies infeasibility conditions and errors early in the generation workflow, preventing wasted computation on fundamentally flawed floorplans and reducing the need for iterative corrections.

Inventive Principle:

Principle #10Preliminary action

4Adaptability or versatility

If manual floorplan preparation is used, then complex requirements can be evaluated, but the ability to respond quickly to demand fluctuations is restricted

Engineering Contradiction:

Improvehandling of complex requirementsVSAvoidresponse speed to demand changes

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adjusts floorplan generation based on real-time demand conditions and complex requirements. The processor can rapidly reconfigure category placements and floorplan layouts in response to changing demands (such as holidays or seasonal variations) while maintaining compliance with complex store-specific requirements, enabling both adaptability and quick response times.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250390839A1Systems and methods for optimizing category placement for spaces

Publication Date: 2025.12.25 WALMART APOLLO LLC

AI summary

Systems and methods for floorplan generation using models are disclosed. A system receives a request to generate a floorplan from a user device. The request includes a category placement parameter. The system also obtains a floorplan parameter from a database. The system determines, based on the category placement parameter and the floorplan parameter, the floorplan. The floorplan assigns categories to respective portions of a location represented by the floorplan. The system, in accordance with a determination that the floorplan satisfies an infeasibility criteria threshold, causes the user device to present an error notification that identifies an infeasibility error in at least one of the category placement parameter or the floorplan parameter, and requests, from the user device, at least one of an updated category placement parameter or an updated floorplan parameter.