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Jump into related categories or open a filtered shop view to start designing faster.
Start a design in our AI 3D configurator to see pricing updates in real time, or reuse approved assets from your category vault.
Hospitality teams can create custom merchandise, including staff uniforms, amenity kits, and retail capsules, by combining templates in the AI design studio and previewing them in venue-specific 3D scenes.
You can lock brand guidelines, allow localised motifs, and export both guest-facing visuals and back-of-house tech packs instantly.
Version control keeps all design approvals aligned across corporate, franchise, and property management groups.
Select recycled suiting fabrics, organic spa textiles, refillable toiletry vessels, and compostable amenity packaging with full traceability documentation.
Our AI assistant suggests materials that meet WELL Building Standard and LEED criteria when you mention sustainability goals in the prompt.
Guests receive QR-coded care and recycling instructions to extend product life.
Yes-create "micro-collections" for weddings, conferences, or loyalty tiers, upload guest lists, and the configurator handles initials, room numbers, or welcome messaging.
You can save the templates for repeat events and refresh artwork with a single prompt.
All data is encrypted and automatically purged after fulfilment to protect privacy.
We split orders by property, track regional compliance requirements, and stage shipments to align with renovation or opening timelines.
Local fulfilment hubs shorten transit times and reduce duties, while HQ still controls quality and pricing.
Dashboards show which locations have received, installed, or reordered their custom hospitality merchandise.
Uniforms and amenity items are built-to-order, but we keep pattern data on file so refreshes or repairs slot into expedited lanes.
Log wear-and-tear issues inside the platform and we prioritise replacements before guest experience is impacted.
For retail capsules, analytics flag top sellers so you can restock before peak season.