Quantiful has chosen to partner with AWS to take advantage of its scalable, resilient infrastructure and cutting-edge technology solutions. The best technology is required to help us deliver our solution at scale, and support us with dataset cleaning, validation and feature engineering. Quantiful has customers across New Zealand and South-East Asia – so we also need a partner that makes our solution globally accessible.

AWS provides the secure, cloud-based platform and the tools required to process the significant amount of in-house structured and semi-structured data that is used to augment the customer’s bespoke dataset to enhance Quantiful’s predictions. Leveraging AWS Glue and PySpark for massive parallel processing allows us to deliver forecasts for large volumes of product items per location. To ensure we can manage the variety of data, we leverage AWS Glue to maintain data catalogues which allows data scientists to pick and choose which data is applicable during the ETL process. AWS’s Sagemaker is used by our Data Scientists to build, train, and deploy machine learning at scale.

Get in touch with someone from AWS