Reline

Drafting a first-pass retail layout from scratch — adjusting gondola placement, calculating usable area, reworking entry flow — can occupy an architect for the better part of a day before anything is ready to show a client. ReLine AI addresses that front-end cost by accepting a CAD file upload, letting the designer specify entrances, columns, and zone constraints directly on the plan, then running an optimization pass that produces hundreds of layout variations ranked by performance metrics such as area usage. The workflow is three discrete steps: upload and calibrate the CAD file, define spatial parameters, then explore the generated iterations.

The differentiating feature is the pairing of generation volume with objective scoring. Rather than comparing options by eye, each iteration comes with measurable data — the vendor describes this as ‘detailed statistics insights’ including area usage — so a designer can filter candidates against quantitative criteria before presenting anything to a client. This shifts the conversation from ‘which layout looks better’ to ‘here is why this configuration uses 12% more sellable floor space.’

ReLine fits retail architects and designers who need to move fast in the preliminary concept phase, particularly on projects where the client expects to compare multiple directions in a single meeting. It does not replace the full architectural workflow: the output is a functional layout concept, not construction documentation, so a conventional CAD or BIM environment still handles everything from schematic design onward. Teams that need an end-to-end design environment in a single platform will hit that ceiling immediately. The platform is closed-source, has no self-hosted deployment path, and enterprise inquiries are routed through direct contact — which means teams with strict data residency requirements have no current workaround.