Amazon Web Services
2483 Case Studies
A Amazon Web Services Case Study
Tapestry needed a better way to predict customer behavior, automate operations, and improve supply chain and shopping experiences across its global retail network. Working with Amazon Web Services, the company used AWS services including Lambda, API Gateway, Amazon S3, and Amazon SageMaker to power its data and analytics platform and gain a 360-degree view of customers.
With Amazon Web Services, Tapestry built a scalable data lake and deployed dozens of machine learning models for near real-time customer segmentation, inventory planning, and personalization. The results included faster shipping times, better product placement, and stronger repurchase rates, with the company handling up to 1.5 million API calls per day during peak periods and using insights to tailor promotions and recommendations for shoppers.
Muhammad Chaudhry
Head of Data Engineering