Benthonlabs

Revolutionizing Search with SakeWiz

An ML Visual Search platform to find sake by name, parameters, or a photo. 

Industry

AI & Data Engineering

Services

ML & Computer Vision Platform

Technologies

AWS, EC2, S3, Apache Spark, ECS, PostgreSQL, Kubernetes

Video

See the platform in action

Watch how we implemented multi-lingual full text and ML-based computer vision search for Japanese sake. 

The problem we solved

Our clients faced significant challenges that required a comprehensive digital transformation. 

Language Barrier

Sake product info was traditionally only in Japanese, making it hard for foreigners.

Complex Discovery

Users lacked an easy way to search for sake by brand name or key parameters.

Visual Identification

Inability to identify sake simply by taking a photo of the label.

Data Normalization

Needed a robust system to ingest and normalize diverse catalogue data.

The solution

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. 

Unified dashboard

View total searches, matched labels, and user metrics.

Visual search

Identify sake instantly by capturing a photo of the label.

Catalog management

Ingest, normalize, and index extensive sake product data.

Multilingual processing

Translate and match full-text search across multiple languages.

Data integration

Track catalog health and API usage via OpenAPI integrations.

Business impact & ROI

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. 

90%

Accuracy in label recognition

100%

Elimination of language barriers

60%

Faster product discovery time

40%

Increase in catalog ingestion speed

Why clients trust us

Results In Action

Case Studies

We build exceptional software with a focus on clean code, agile processes, and remarkable user experience.

Let's build together

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