Mobile experience
Browse the collection.
Flutter provides the mobile application. The collection view brings photographed labels into a browsable grid, as shown in the product recording.
Mobile product / Winona
A mobile app for wine professionals, restaurants and collectors. Local collection data and AI label recognition, brought together in one product.
At a glance
01 / The brief
Winona needed a mobile product for managing wine collections, with offline capability and AI-powered label scanning.
The intended users included restaurants and collectors. The brief paired a practical collection-management task with a way to recognise labels and look up the wine’s metadata.
Offline use was a core requirement. Local data and the cloud backend needed a place in the design from the start.
02 / What we built
Devopsly delivered a cross-platform Flutter app, with local SQLite synchronisation, a Firebase backend and Google Vision AI.
Mobile experience
Flutter provides the mobile application. The collection view brings photographed labels into a browsable grid, as shown in the product recording.
Local + cloud data
SQLite provides local storage and synchronisation, with Firebase as the backend. This gives offline collection data a defined role in the product.
Focused AI
Google Vision AI supports wine label recognition and metadata lookup. The AI feature serves a specific step in managing the collection.
The system
03 / The result
Devopsly delivered the Winona app through to its App Store launch, combining offline collection management with label recognition.
The product brings a specialist workflow into a mobile experience. The AI capability has a concrete job: connecting a photographed label to information about the wine.
The recording on this page shows the collection view. Label scanning is part of the app but is not shown in the recording.
A similar challenge?
Bring the activity your users need to complete, the conditions they work in and any existing product or data.
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