Case Study: Supr Daily improves partner and customer experiences with Amazon Web Services

Supr Daily Improves Partner and Customer Experiences Using Machine Learning on AWS

Supr Daily needed a faster, more accurate way to verify delivery photos, improve forecasting, and personalize operations at scale. Using Amazon Web Services, including Amazon Rekognition, Amazon Forecast, Amazon S3, Amazon SQS, and AWS Elastic Beanstalk, the company set out to replace manual processes and support millions of customers across multiple cities.

Amazon Web Services helped Supr Daily automate image verification so delivery photos could be checked in near real time, with custom model processing in as little as 350 ms per image and 95% accuracy for item recognition. AWS also enabled automated demand forecasting and notifications to procurement teams, improving mean absolute percentage error by 25% while reducing costs and speeding time to market.

Supr Daily

Praveen Kumar

Director of Products