Miroglio is a group of companies in the Fashion industry operating in several fields: from clothing brands and transfer printing to integrated logistics and supply chain management. Born in Italy, the Miroglio Group has spread worldwide. Today it is present in 20 countries with more than 35 different brands.
The customer was willing to improve an existing customer loyalty campaign by personalizing marketing initiatives and targeting specific audiences by leveraging Machine Learning techniques.
Miroglio thus hired beSharp to improve the Machine Learning customer clustering and seamlessly integrate it into its existing marketing workflows by taking advantage of AWS services.
beSharp migrated the customer dataset from an EC2 backed database to Amazon S3. Leveraging a scalable and extensible storage service like Amazon S3, beSharp put in place a Data Lake as a single source of truth for model training. Furthermore, the same S3 Data lake can be used to feed an arbitrary number of workloads, meeting any possible future business need. Amazon S3 perfectly integrates with several data visualization services, and in this particular case, Amazon Quicksight was used for dashboarding and BI. Thanks to the use of Amazon Athena, the customer could also implement powerful, precise, and cost-optimized file-level queries into the Data Lake.
Automation and orchestration goals were achieved thanks to automatic ETL – MLOps pipelines orchestrated through AWS StepFunctions. This enables the continuous update of the data lake so that Data Analysts are constantly relying on a fresh dataset. Besides, beSharp succeeded in integrating each pipeline into the customer’s internal legacy workflow control tool.
Thanks to the combination of SageMaker Studio, Amazon CloudFormation, and AWS Cloud9, we provided the customer Dev team with a secure and agile process to test, tune and train the SageMaker Notebooks and finally bring them into production.
beSharp supported Miroglio during the implementation of a customized infrastructure optimized to support Data Analytics and Machine Learning workloads, designed according to the best practices of the Well-Architected Framework and in line with the DevOps and MLOps principles. By leveraging the AWS Cloud and the AWS services for ETL, Machine Learning, and pipeline orchestration, beSharp has enabled Miroglio’s Data Analysts team to integrate with development and operations allowing growth in the number of releases in production of increasingly performing models. Thanks to the new infrastructure, specifically designed to support the development, testing, and training of ML models, the customer was able to implement a highly targeted marketing strategy based on customer clustering performed with the most advanced Machine Learning techniques. Furthermore, the beSharp Cloud Experts have made Miroglio’s technical teams independent in managing the new architecture through an on-the-job training approach.