Customer Data Garden Implementation Case Study

This case study details the implementation of a Customer Data Garden by Tiger Analytics for a leading clothing and lifestyle brand in the US. The primary objective was to enhance CRM efficiency and accuracy through the integration of Artificial Intelligence (AI) and Machine Learning (ML). The client faced challenges with manual customer modeling, resource unproductivity, and low documentation compliance due to legacy systems. Tiger Analytics initiated the project by analyzing existing SAS code to identify areas for improvement. A strategic roadmap was developed to transition to a modern cloud-based setup, which included the creation of a repository for customer data features that could be reused across various targeting models. The solution also involved engineering a Machine Learning pipeline that streamlined the modeling process, improving efficiency and enabling ongoing monitoring. The implementation resulted in a 25% increase in productivity and a 6-8% improvement in model accuracy compared to historical models.