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How to Create Retail-Style Buildings Using AI Generate

Updated on March 9, 2026

During early site feasibility analysis, developers and architects often explore multiple building layouts to understand how retail space can fit within the parcel while still meeting zoning requirements and development goals.

Using AI-driven test fit modeling can significantly accelerate this process. Instead of manually drafting several layouts, teams can generate multiple retail building configurations in minutes and evaluate which option works best within their real estate feasibility study.

Below is a simple step-by-step guide to creating retail-style buildings within a feasibility workflow.

Step 1: Select Your Parcel and Configure Site Information

Start by selecting the parcel you want to analyze.

Before generating any building layouts, configure the key site parameters that will influence the design. This includes defining the street-facing edges of the parcel, adjusting setback requirements, and confirming any relevant zoning constraints.

Accurate site setup is an important first step in any site feasibility analysis, as these parameters determine the buildable envelope used during test fit modeling.

Once these conditions are defined, the workspace will be ready for building generation.

Step 2: Open ‘AI Generate’ and Choose Your Building Type

After setting up the parcel, open the AI Generate feature inside your workspace.

From here, select the building type that most closely aligns with your project goals. For retail-oriented developments, the building type will often start as a flexible commercial or mixed-use structure.

Next, navigate to the More Settings tab. This section allows you to define additional building uses and adjust how different programs are distributed within the building.

This step allows developers to refine how retail functions within the overall land development scenario being evaluated.

Step 3: Configure the Retail Use Type

Inside the Other Use section, change the use type to Retail.

Once retail is selected, you can specify where the retail space should be located within the building. For example, retail is often placed on the ground floor to maximize visibility and street accessibility.

You can also define a target area for the retail program. If the project requires a fully retail-focused building, select the option to fill the entire floor with retail space.

Step 4: Generate Multiple Retail Test Fit Iterations

Once your settings are configured, select Apply, then click Generate.

The system will create multiple building iterations based on the site constraints and retail configuration you defined. Each iteration represents a different test fit scenario that explores how the building could be arranged within the parcel.

Generating multiple options allows development teams to quickly compare layouts and identify which configuration best supports the project’s goals.

During early real estate feasibility study phases, exploring several design possibilities can reveal opportunities or constraints that might not be obvious in a single layout.

Step 5: Select Your Preferred Layout and Begin Editing

After the test fit results are generated, review the available design options and select the layout that best fits your development strategy.

From there, you can begin refining the design by adjusting building massing, circulation patterns, or program distribution.

This iterative approach allows developers and architects to move smoothly from early site feasibility analysis into more detailed design exploration while maintaining alignment with the broader land development strategy.

Why AI Test Fits Help with Retail Planning

Retail buildings require careful planning to ensure strong storefront visibility and a functional floor layout.

Using AI-powered test fit modeling during the real estate feasibility study phase allows development teams to explore multiple configurations quickly while ensuring that the building remains compliant with site constraints.

By generating and evaluating multiple scenarios early, developers can make more informed decisions before moving into detailed design and entitlement stages.

Explore What Zenerate Can Do

If you would like to discuss how Zenerate could support your feasibility or land development workflow, book a demo below to start the conversation.