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AI & software / 2022

Google Cloud Retail AI

Retail AI dashboard design: catalog data, events, errors, models, and analytics. Values shown are mockup data.
Retail AI dashboard design: catalog data, events, errors, models, and analytics. Values shown are mockup data.

I led UX for Google Cloud Retail AI. Retailers needed to bring in product data and customer events, configure search and recommendations, and understand whether the system was working.

Getting the data in

The onboarding flow connects a product catalog and user events. Catalogs could come from Merchant Center, Cloud Storage, or BigQuery; the interface had to make those choices understandable before asking people to configure a model.

Catalog import flow from the original design presentation, with Merchant Center, Cloud Storage, and BigQuery options.
Catalog import flow from the original design presentation, with Merchant Center, Cloud Storage, and BigQuery options.

Making search adjustable

The design brings search controls into the same workspace as configuration and evaluation. Teams can inspect the order of rules, change them, and move into evaluation to check the effect.

Serving configuration design: ordering search controls and opening evaluation.
Serving configuration design: ordering search controls and opening evaluation.

Original design mockups and presentation excerpts, recovered from my portfolio archive.

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