AI case study

VinasoyStore display scoring

Scoring display photos took a reviewer ~1 min each; as stores multiplied, delays stacked up. AI now returns scores moments after upload.

Published

Key results

Faster Than Manual
~1,300x

Result highlights

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The story

Context

An FMCG company specializing in soy-based nutrition products with a national distribution network and a continuously expanding base of retail points of sale.

Challenge

After sales staff photographed product displays at each retail point, a dedicated team manually evaluated each image against compliance criteria,...

Solution
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Quotes

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The company

Soy milk and plant-based beverage manufacturer and distributor in Vietnam.

IndustryConsumer Products
LocationQuang Ngai, Vietnam
Employees1K-5K
Founded1997

The implementation partner

Renova Cloud Vietnam logo

Renova Cloud Vietnam

renovacloud.com
Role in this case study

Partnered with Vinasoy to deploy an AI-powered display image scoring system on AWS.

IndustryTechnology
LocationHo Chi Minh City, Vietnam
Employees51-250
Founded2018

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com
ROLE IN THIS CASE STUDY

Provided the cloud platform (AWS) for deploying Vinasoy's AI display image scoring system.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Vinasoy's Store display scoring is part of this use case:

Computer Vision
36 case studies(+12% YoY)
Proven impact?
LowModerateVery Strong
4.0Moderate

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