Match shoppers to sizes based on body shape, brand-specific fit, and return data.
Recommend complementary products or outfits tailored to customer preferences.
Embed widgets or APIs into web, app, or in‑store experiences.
Monitor how recommendations affect returns, exchanges, and conversion.
Organise work by collection, season, client, or channel to keep experiments manageable.
Invite teammates or external partners to view or comment on outputs.
Export results into file formats your downstream tools already accept.
Modern SaaS security practices such as account control and basic access management.
Guides, examples, or templates that help teams adopt the tool effectively.
Where offered, APIs or batch tools that let teams automate repetitive tasks.
Embed widgets that recommend sizes or styles to customers to reduce uncertainty and returns.
Propose outfits that increase average order value while staying aligned with customer preferences.
Analyse how fit and styling advice influences key KPIs such as conversion, returns, and lifetime value.
Drop generated visuals into decks to communicate ideas clearly to internal or external stakeholders.
Fill out moodboards with coherent imagery aligned to a particular brief or theme.
Explore visual directions for categories the brand has not produced before.
Visualise how collaborations, logos, or partners might appear on existing shapes.
Use the tool for workshops that help teams understand AI possibilities and limitations.
Create placeholder visuals while waiting for full production photoshoots.
Generate content variations tailored to social formats and influencer partners.
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