Case Study: Silpo accelerates scalable MLOps deployment with TemaBit's AWS Kubeflow platform

Silpo reduces ML deployment cycles to a day with TEMABIT Software Development

The retail chain Silpo needed a robust MLOps platform to accelerate machine learning model deployment and manage its complex daily sales forecasting, which involved over 10 million item-store-date combinations. They partnered with TEMABIT Software Development to build a solution using Kubeflow on Amazon EKS to address this challenge.

TEMABIT Software Development implemented a scalable MLOps infrastructure on AWS, utilizing Kubeflow Pipelines for automation and KServe for reliable model serving. This solution significantly reduced model deployment cycles from weeks to hours and achieved an estimated 30–50% reduction in compute costs through efficient resource management, empowering Silpo to scale its operations securely and cost-effectively.

Silpo