AI case study

Miroglio GroupProduct categorization

Manual tagging bottlenecked inventory for a month. AI now analyzes images to generate accurate descriptions in just one hour.

Published|7 months ago

Key results

Tagging Cycle Time
1 hour
vs 1 month
Tagging Accuracy
~90%

Result highlights

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The story

Context

An international fashion group operating across 41 countries with 10 brands including Trussardi and Oltre, managing a global portfolio of lifestyle products.

Challenge

Manual product tagging was inconsistent and labor-intensive, with categorization cycles taking up to a month to complete. This inefficiency created...

Solution
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Quotes

The company

Miroglio Group logo

Miroglio Group

mirogliogroup.com

Fashion and textile group specializing in apparel brands and textile production.

IndustryConsumer Products
LocationAlba, Italy
Employees1K-5K
Founded1947

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

The implementation partner

Storm Reply logo

Storm Reply

reply.com

Developed a generative AI product tagging solution and translated business needs into AI systems.

IndustryTechnology
LocationTurin, Italy
Employees10K-50K
Founded1996

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