Remodel directions for a store interior, from one photo
Upload a photo of the existing store interior — or start from a design brief — and PromeAI turns it into a cohesive remodel direction. Explore fixture styles, materials, wall treatments and lighting, then refine the one you like into a set to present.
One room photo in. A remodel scheme out.
An existing sales floor becomes explorable remodel directions, then a presentation set for a store refresh.
A photo of the current sales floor or storefront interior.
Options in different fixture styles, materials, finishes and lighting.
The chosen direction expanded into a consistent set of views.
See the Workflow Run
The workflow behind this solution — connected nodes you can run.
How it works
A controllable path from the existing store interior to a set of views for a brand or landlord review — grounded in PromeAI's interior remodeling and refinement.
Start from the store or brief
Drop in a photo of the current interior, or a design brief — that becomes the reference the remodel builds from.
Explore remodel directions
Generate concepts in different fixture styles, materials, wall treatments and lighting so you have real options for the sales floor.
Refine for presentation
Take the direction you like into a consistent set of views and assemble a before/after board.
What you walk into the brand review with
A set of views
Key angles of the remodeled store interior, consistent in style.
Before / after
The existing sales floor beside the proposed remodel.
Style & material options
Fixture and finish directions a brand can compare and choose.
Who this is for
Retail & store designers
Show a convincing interior direction fast, before detailed drawings.
Visual merchandising leads
See how fixtures and finishes read on the floor before build-out.
Store rollout managers
Explore refresh directions without a full 3D model.
Frequently asked questions
Try it on your next store photo
Generate remodel directions and present a before/after set for the interior.
Related solutions & workflows
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