Logistics Transformation: Enhancing Efficiency with Datamatics & AWS Cloud Solutions

The Client is the most efficient digital freight network in the Middle East, has redefined road freight and logistics operations through the power of AI, ML, and cutting-edge technology. Their platform seamlessly connects shippers and carriers, optimizing routes, reducing empty miles, and ensuring cost-effective, real-time freight movement.

The Challenge: Data Integrity & Recovery Gaps

The client’s existing database quality was inconsistent, plagued by frequent hardware and software failures that disrupted critical logistics operations. Instances of data corruption and accidental deletions further compounded the problem, leading to costly downtimes and operational inefficiencies.

These challenges weren’t just technical hurdles—they directly impacted key leadership stakeholders, including the Chief Information Officer (CIO), who bore the brunt of the inefficiencies. As the company’s digital freight network expanded, the CIO faced mounting pressure to ensure seamless database performance, maintain data integrity, and minimize downtime. The company lacked a structured approach to restoring lost databases within their required RPO and RTO parameters.

Beyond just reliability, the leadership recognized the need to enhance organizational efficiency. A seamless, well-integrated system was essential to support data-driven decision-making, optimize freight movement, and maintain their competitive edge in the industry.

The Solution: Datamatics & AWS Cloud Migration

Datamatics designed and implemented a robust cloud-based solution leveraging AWS technologies. To establish a resilient Disaster Recovery (DR) strategy, Datamatics deployed AWS Compute SQL Server log shipping on the client’s database servers. This enabled automated transaction log backups from the Primary database instance to corresponding Secondary databases (also known as warm standby/slave) on separate DB instances.

With this setup, the client gained a failover mechanism that ensured business continuity by minimizing data loss and downtime during unexpected failures.

Datamatics also implemented a centralized data warehouse. Utilizing AWS Data Migration Service (DMS) as an ETL tool, data was seamlessly migrated from MS SQL databases in SSMS to Amazon Redshift—a powerful cloud data warehouse.

By modernizing the client’s database infrastructure on AWS, Datamatics not only strengthened system reliability but also unlocked new efficiencies, positioning the company for scalable growth in the competitive logistics landscape.