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System architecture · Computer vision

A fashion venture's AI product architecture.

An AI product architecture for a fashion venture, with component validation and a phased plan for development.

Client
Fashion venture
Service
Strategize
Status
Architecture validated
Stack
Vision models · custom layer · feedback loops

Client details are anonymized.

The brief

A fashion venture wanted to turn several separate AI capabilities into one product: helping shoppers see what fits before they buy, so fewer purchases come back. Before committing budget, they needed to know whether it could actually be built, and what to build first.

What we designed

We designed an architecture combining existing AI APIs and models with a custom layer for the venture’s requirements. The design includes adapting models to the catalog and customer data, with a proposed feedback loop using purchases, returns, and ratings.

Customerphoto or video
Existing AI APIsreusable capabilities
Custom layerproduct-specific logic
Fit guidancequantitative
Try-onvisual
Proposed feedback loop · purchases, returns, and ratings would inform model refinement
The proposed architecture combines reusable models, a custom layer, and feedback from product use.

Validation and design decisions

We validated components individually, including the vision models and custom layer, and identified which capabilities to access through APIs and which to run directly. The modular design separates the model components so alternatives can be evaluated and replaced with less rework. Integration and end-to-end testing remain part of the subsequent product build.

Delivery

The venture received a phased architecture to inform budgeting and development, with the existing capabilities and custom work distinguished. The engagement covered design and component validation. Product implementation remained a subsequent step.

ApproachAPI-firstreuse, then fine-tune
Planned inputFeedbackpurchases, returns, and ratings
DesignModularseparate model components

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