AI-Assisted Spatial Layout System
AI-Assisted Spatial Layout System
AI-Assisted Spatial Layout System
AI-Assisted Spatial Layout System
AI-assisted spatial layout system for a confidential enterprise client. My role was to refine the initial idea into a workable solution and delivered the UX and UI. The project started in July 2025.
AI-assisted spatial layout system for a confidential enterprise client. My role was to refine the initial idea into a workable solution and delivered the UX and UI. The project started in July 2025.
AI-assisted spatial layout system for a confidential enterprise client. My role was to refine the initial idea into a workable solution and delivered the UX and UI. The project started in July 2025.
AI-assisted spatial layout system for a confidential enterprise client. My role was to refine the initial idea into a workable solution and delivered the UX and UI. The project started in July 2025.
About
The project focused on developing an automated spatial layout generation system embedded within a GIS environment.
The underlying planning process involved multiple constraints, operational rules, and technical parameters. The goal was to establish a workflow that reduces manual effort, accelerates decision-making, and tightly integrates user actions, underlying data models, and algorithmic output.
Challenges
Spatial layouts are typically formed through a combination of expert knowledge, operational guidelines, and context-dependent constraints. Without systematic support, this results in high effort, inconsistent outcomes, and limited scalability.
An algorithmic component must therefore not only process input parameters but also identify incomplete conditions and request additional data when necessary.
Solutions
The solution uses an internal, domain-specific AI model acting as a dedicated layout assistant:
Drawing a region directly triggers analysis and layout generation
Drawing a region directly triggers analysis and layout generation
Drawing a region directly triggers analysis and layout generation
Drawing a region directly triggers analysis and layout generation
Drawing a region directly triggers analysis and layout generation
Drawing a region directly triggers analysis and layout generation
Drawing a region directly triggers analysis and layout generation
Missing parameters are requested in a targeted, context-aware manner
Missing parameters are requested in a targeted, context-aware manner
Missing parameters are requested in a targeted, context-aware manner
Missing parameters are requested in a targeted, context-aware manner
Missing parameters are requested in a targeted, context-aware manner
Missing parameters are requested in a targeted, context-aware manner
Missing parameters are requested in a targeted, context-aware manner
Structured parameter inputs guide the interaction
Structured parameter inputs guide the interaction
Structured parameter inputs guide the interaction
Structured parameter inputs guide the interaction
Structured parameter inputs guide the interaction
Structured parameter inputs guide the interaction
Structured parameter inputs guide the interaction
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Extracted expert knowledge allows early application of domain rules, reducing the need for additional questions
Automation is prioritized wherever possible to streamline the planning workflow
Automation is prioritized wherever possible to streamline the planning workflow
Automation is prioritized wherever possible to streamline the planning workflow
Automation is prioritized wherever possible to streamline the planning workflow
Automation is prioritized wherever possible to streamline the planning workflow
Automation is prioritized wherever possible to streamline the planning workflow
Automation is prioritized wherever possible to streamline the planning workflow
UX Methodology & Design Process
The system was designed through a research-driven process:
In-depth interviews with end users to extract domain knowledge
In-depth interviews with end users to extract domain knowledge
In-depth interviews with end users to extract domain knowledge
In-depth interviews with end users to extract domain knowledge
In-depth interviews with end users to extract domain knowledge
In-depth interviews with end users to extract domain knowledge
In-depth interviews with end users to extract domain knowledge
Synthesis of expert rules into applicable decision logic
Synthesis of expert rules into applicable decision logic
Synthesis of expert rules into applicable decision logic
Synthesis of expert rules into applicable decision logic
Synthesis of expert rules into applicable decision logic
Synthesis of expert rules into applicable decision logic
Synthesis of expert rules into applicable decision logic
Design Thinking sessions to define interaction patterns
Design Thinking sessions to define interaction patterns
Design Thinking sessions to define interaction patterns
Design Thinking sessions to define interaction patterns
Design Thinking sessions to define interaction patterns
Design Thinking sessions to define interaction patterns
Design Thinking sessions to define interaction patterns
Iterative prototyping to scope the AI’s role and behavior
Iterative prototyping to scope the AI’s role and behavior
Iterative prototyping to scope the AI’s role and behavior
Iterative prototyping to scope the AI’s role and behavior
Iterative prototyping to scope the AI’s role and behavior
Iterative prototyping to scope the AI’s role and behavior
Iterative prototyping to scope the AI’s role and behavior
Progressive reduction of complexity through parameter grouping and automated derivations
Progressive reduction of complexity through parameter grouping and automated derivations
Progressive reduction of complexity through parameter grouping and automated derivations
Progressive reduction of complexity through parameter grouping and automated derivations
Progressive reduction of complexity through parameter grouping and automated derivations
Progressive reduction of complexity through parameter grouping and automated derivations
Progressive reduction of complexity through parameter grouping and automated derivations
Validation of the interaction model with technical stakeholders
Validation of the interaction model with technical stakeholders
Validation of the interaction model with technical stakeholders
Validation of the interaction model with technical stakeholders
Validation of the interaction model with technical stakeholders
Validation of the interaction model with technical stakeholders
Validation of the interaction model with technical stakeholders
UI Concept
The interface centers on a technical, highly structured interaction model:
The AI activates automatically when relevant GIS actions occur
The AI activates automatically when relevant GIS actions occur
The AI activates automatically when relevant GIS actions occur
The AI activates automatically when relevant GIS actions occur
The AI activates automatically when relevant GIS actions occur
The AI activates automatically when relevant GIS actions occur
The AI activates automatically when relevant GIS actions occur
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Parameter inputs are provided through explicit, well-defined input fields rather than free-form text
Select components allow choosing existing operational units or devices
Select components allow choosing existing operational units or devices
Select components allow choosing existing operational units or devices
Select components allow choosing existing operational units or devices
Select components allow choosing existing operational units or devices
Select components allow choosing existing operational units or devices
Select components allow choosing existing operational units or devices
New units can be defined by entering required attributes in predefined fields
New units can be defined by entering required attributes in predefined fields
New units can be defined by entering required attributes in predefined fields
New units can be defined by entering required attributes in predefined fields
New units can be defined by entering required attributes in predefined fields
New units can be defined by entering required attributes in predefined fields
New units can be defined by entering required attributes in predefined fields
The AI communicates through concise, technical messages focused on parameters and constraints
The AI communicates through concise, technical messages focused on parameters and constraints
The AI communicates through concise, technical messages focused on parameters and constraints
The AI communicates through concise, technical messages focused on parameters and constraints
The AI communicates through concise, technical messages focused on parameters and constraints
The AI communicates through concise, technical messages focused on parameters and constraints
The AI communicates through concise, technical messages focused on parameters and constraints
Draft layouts are visualized immediately and can be refined through additional inputs
Draft layouts are visualized immediately and can be refined through additional inputs
Draft layouts are visualized immediately and can be refined through additional inputs
Draft layouts are visualized immediately and can be refined through additional inputs
Draft layouts are visualized immediately and can be refined through additional inputs
Draft layouts are visualized immediately and can be refined through additional inputs
Draft layouts are visualized immediately and can be refined through additional inputs
Outcome
The resulting concept supports automated spatial layout generation with clear guidance and reduced complexity. Through the integration of an internal AI assistant that detects missing values, requests only relevant parameters, and leverages expert knowledge, the system accelerates planning tasks, reduces manual input, and produces consistent and explainable results.
More Work
