Automotive

The client partnered with Adastra to modernize their data estate and implement advanced analytics using Microsoft’s Power Platform.

Adastra’s tailored solution allows the global automotive manufacturer to cut energy costs and gain outstanding monetary and sustainability-related benefits.

Adastra and Adastra.AI, a member of the Adastra Group, helped our client develop an intelligent application to optimize their container loading process.

Eurowag transformed its data management and analytics capabilities by creating a cloud-based data lake within a year.

Adastra leveraged Adoki to manage and monitor all data transfers in Skoda's analytics platform.

Adastra built a new data warehouse to fulfill present requirements and to consolidate all customers and their related data.

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.