An ML Visual Search platform to find sake by name, parameters, or a photo.
Watch how we implemented multi-lingual full text and ML-based computer vision search for Japanese sake.
Our clients faced significant challenges that required a comprehensive digital transformation.
Sake product info was traditionally only in Japanese, making it hard for foreigners.
Users lacked an easy way to search for sake by brand name or key parameters.
Inability to identify sake simply by taking a photo of the label.
Needed a robust system to ingest and normalize diverse catalogue data.
We built SakeWiz, an end-to-end ML visual search platform for the sake industry. It brings together catalog management, computer vision, and multi-lingual search in a single, easy-to-use system.
View total searches, matched labels, and user metrics.
Identify sake instantly by capturing a photo of the label.
Ingest, normalize, and index extensive sake product data.
Translate and match full-text search across multiple languages.
Track catalog health and API usage via OpenAPI integrations.
SakeWiz has helped users and distributors run their discovery operations more efficiently, with better catalog control and visibility. The ROI is measured through key operational metrics.
Accuracy in label recognition
Elimination of language barriers
Faster product discovery time
Increase in catalog ingestion speed
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