Automotive

Adastra implemented a data lake in Amazon S3 and created an enterprise data model on top of it, running on Redshift.

Adastra designed and implemented an AWS-based cloud analytics solution and played a key role in the customer’s sustainability transformation.

Adastra implemented an AWS Data Lake workflow to enable self-service BI system where business users can interact, explore, and visualize real-time data.

Adastra developed a dedicated two-bot RPA solution that saves 300 man-hours every year of a leading automotive group. Learn more now.

Adastra's RPA solution saves 5600 man-hours annually and ensures 20x faster data request processing for a global automotive group.

Adastra supports the client in planning, designing, and developing enhancements for the Sales Database cube and reports.

The RPA solution is split into two parts - monthly container booking and daily correction process workflows that save 750 man-hours annually.

Adastra achieved 3x faster document processing during regular meetings to boost productivity through robotic process automation. Read more.

4x faster reimbursement validation by implementing an RPA solution for the logistics department in of the largest automotive groups in the world.

Our team migrated their analytics platform entirely to the AWS cloud, creating an S3-based data lake for impeccable data processing.

Adastra automated the prevention of delayed shipments to save 1000 man-hours annually and bring zero room for manual errors. Read more.

Adastra transformed a completely manual claim review process into an automated workflow that saved over 625 man-hours annually. Read more.