Case Study: ETP achieves automated AI/ML model training and deployment with Daffodil Software

ETP automates AI/ML model training and deployment with Daffodil Software, achieving 97% accuracy

The customer, ETP, a leading retail software provider based in Singapore, faced a significant challenge with manual AI/ML model deployment for its multi-tenant clients. This process was time-consuming, inefficient, and prone to errors. To overcome this and support their growth, ETP sought the expertise of vendor Daffodil Software for AI application development and consulting to automate and optimize their infrastructure.

Daffodil Software implemented an automated solution for training and deployment using Apache Airflow and MLflow for two key use cases: an anomaly detection model and a recommendation system. The solution streamlined tenant onboarding, ensured data isolation, and provided real-time predictions. This automation substantially boosted ETP's operational efficiency, minimized errors, and impressed the client so much that they entrusted Daffodil with automating another critical module.

ETP