Full Cloud ML and AI Procurement Platform

At a Glance

ECHO, a B2B platform, chose to migrate and optimize its infrastructure on the cloud, integrating Machine Learning (ML) and Artificial Intelligence (AI) technologies to improve the efficiency and accuracy of business processes. This case study illustrates how we streamlined the architecture, implementing advanced solutions to achieve exceptional results

Key Process

Amazon S3 and Lambda

We transferred large volumes of data to Amazon S3 for scalable and cost-effective storage. AWS Lambda functions were used to process data asynchronously, reducing processing times and improving system responsiveness

Machine Learning for Demand Forecasting

We used Amazon SageMaker to develop and train Machine Learning models capable of accurately predicting product demand. These models allowed for inventory optimization and cost reduction

Process Automation with AI

Advanced APIs and AI models to automate key business processes. Reduce manual work, minimize errors and achieve significant cost savings

Traffic Management with Amazon SNS

To reliably and scalably manage traffic between the various system components, we used Amazon SNS, improving the platform's resilience and efficiency

Outcomes

Thanks to these strategic implementations, the procurement platform achieved significant improvements in terms of efficiency and innovation. The integration of cloud, ML, and AI solutions optimized procurement processes, reduced operational costs, and enhanced the quality of services offered to end-users

60 ms

specific API response time

sustainable traffic load

+10K

simultaneous streaming user capacity