AI case study

Spoon GuruFood product search

Batch processing bottlenecked critical allergy tagging. Vertex AI now automates models, cutting setup time from 2 hours to 1.

Published|1 year ago

The story

Context

A nutrition technology platform processes 14 billion data points daily to accurately label food products for retailers serving shoppers with complex dietary requirements.

Challenge

Shoppers with allergies face zero margin for error, yet the company's legacy infrastructure relied on slow batch processing and required heavy manual...

Solution
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Scope & timeline

  • Model setup time cut from 2 hours to 1 hour

Quotes

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The company

Spoon Guru logo

Spoon Guru

spoon.guru

AI-powered nutrition intelligence platform for personalized food discovery.

IndustrySoftware & Platforms
LocationLondon, ENG, UK
Employees11-50
Founded2015

The AI provider

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Appsbroker CTS logo

Appsbroker CTS

appsbroker.cts.co

Supported Spoon Guru's migration to Google Cloud and its serverless architecture in 2023.

IndustryTechnology
LocationSwindon, ENG, UK
Employees251-1K
Founded2006

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