Title
Miroglio Group Unleashes Fashion Innovation in Italy with Generative AI on AWS
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Description
Italian fashion company Miroglio Group, which designs and distributes 10 fashion and lifestyle brands across 41 countries, worked with AWS Partner Data Reply to replace its manual product-tagging process with a generative AI-powered tagging system built on Amazon Bedrock using Anthropic's Claude 3.5 Sonnet, combined with a machine learning model trained on the company's historical images. The system analyzes product images and generates accurate technical and editorial tags and descriptions across multiple languages, reaching almost 90 percent accuracy and cutting a task that previously took one month down to about one hour.
…reality. Implementing a Generative AI–Powered Solution with 90 Percent Accuracy Working together, Data Reply and Miroglio Group implemented a generative AI–powered product tagging system using Amazon Bedrock , which is the simplest way to build and scale generative AI applications, with Anthropic’s Claude 3.5 Sonnet foundation model. They also used a machine learning model trained on Miroglio Group’s historical…
Company
Miroglio Group
…Data and Enterprise Resource Planning, Miroglio Group In pursuit of innovation Miroglio Group is an international fashion company that was founded in 1947. It operates across 41 countries with 10 fashion and lifestyle brands including…
Problem
Miroglio Group used a manual product tagging process that was not only time-consuming but also prone to inconsistencies. The company needed a categorization solution that would maintain accuracy while freeing its teams to focus on creative and high-value tasks.
…is crucial for managing inventory and providing a positive customer experience. Miroglio Group used a manual product tagging process that was not only time-consuming but also prone to inconsistencies. The company needed a categorization solution that would maintain accuracy while…
Solution
Working together, Data Reply and Miroglio Group implemented a generative AI–powered product tagging system using Amazon Bedrock, with Anthropic's Claude 3.5 Sonnet foundation model. They also used a machine learning model trained on Miroglio Group's historical images. The automated solution analyzes product images and information using Amazon Bedrock to generate accurate tags and descriptions (technical and editorial) across multiple languages.
…reality. Implementing a Generative AI–Powered Solution with 90 Percent Accuracy Working together, Data Reply and Miroglio Group implemented a generative AI–powered product tagging system using Amazon Bedrock , which is the simplest way to build and scale generative AI applications, with Anthropic’s Claude 3.5 Sonnet foundation model. They also used a machine learning model trained on Miroglio Group’s historical…
Industry
Retail
…Data and Enterprise Resource Planning, Miroglio Group In pursuit of innovation Miroglio Group is an international fashion company that was founded in 1947. It operates across 41 countries with 10 fashion and l…
Country
Italy
…built its legacy on understanding and meeting the preferences of its customers. The Italian company designs and distributes fashion and lifestyle products across 41 countries. In its pursuit of innovation, Miroglio Group used Amazon Web Services (AWS) and…
Technology
Amazon Bedrock, Claude 3.5 Sonnet
…Percent Accuracy Working together, Data Reply and Miroglio Group implemented a generative AI–powered product tagging system using Amazon Bedrock , which is the simplest way to build and scale generative AI applications, with Anthropic’s Claude 3.5 Sonnet foundation model. They also used a machine learning model trained on Miroglio Group’s historical…
Business value
The new system achieves almost 90 percent accuracy in product tagging. Tasks that previously took 1 month can now be completed in approximately 1 hour, freeing staff to focus on more creative and strategic initiatives.
…rate tags and descriptions (technical and editorial) across multiple languages. The new system achieves almost 90 percent accuracy in product tagging. Tasks that previously took 1 month can now be completed in approximately 1 hour. That automation has freed staff to focus on more creative and strategic initiat…
AI capabilities
Computer Vision, Generative AI
…so used a machine learning model trained on Miroglio Group’s historical images. The automated solution analyzes product images and information using Amazon Bedrock to generate accurate tags and descriptions (technical and editorial) across multiple languages. The new system achieves al…
Region
Europe
…built its legacy on understanding and meeting the preferences of its customers. The Italian company designs and distributes fashion and lifestyle products across 41 countries. In its pursuit of innovation, Miroglio Group used Amazon Web Services (AWS) and…
Deployment options
cloud
…any designs and distributes fashion and lifestyle products across 41 countries. In its pursuit of innovation, Miroglio Group used Amazon Web Services (AWS) and engaged Data Reply , an AWS Partner , to transform its product management p…
Deployment model
cloud
…any designs and distributes fashion and lifestyle products across 41 countries. In its pursuit of innovation, Miroglio Group used Amazon Web Services (AWS) and engaged Data Reply , an AWS Partner , to transform its product management p…
Capture details
- Captured
- 29 Aug 2026, 06:00 UTC
- Extractor
- fetch-strip@1
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- a70fabade154c2ba9bc6c8faa32dda708beb639a405b3a0f9ad26402f5b0e6f8