A logistics company known for leveraging technology and automation to deliver customizable and affordable order-fulfillment solutions. It partners with several modern high-growth e-commerce and retail businesses.

The client's fulfillment operations were labor-intensive and lacked efficient automated systems, leading to longer cycle times and restricted service reach, especially during peak periods. Additionally, the onboarding of new vendors was slow and manual, limiting growth prospects. The client needed a dynamically scalable system to meet the demands of a growing market.

The client, with Turing's support, evaluated their current operations and implemented the necessary changes for a modern application and cloud architecture:

• Architecture improvements: Transitioned to a microservices-based architecture, refactored code to support auto-scaling and load balancing, and enhanced AWS cloud services for improved performance and scalability.
• Technical enhancements: Implemented the MEAN stack for technical enhancements, including Angular for front-end development, Node.js for the back end, and AWS RDS MySQL for databases. AWS key services like EC2 and S3 were utilized, and back-end code was hosted on AWS Lambda for enhanced scalability.
• Real-time tracking: Deployed real-time tracking functionalities to enhance customer experience and reduce support tickets. The customer onboarding process was fully automated, reducing the time required by 50%.

• 20% improvement in order turnaround times: Enhanced fulfillment operations led to faster order processing and more on-time deliveries.
• 30% reduction in support ticket resolution times: Automated checks and optimized querying processes significantly reduced the time needed to resolve support tickets.
• 15% decrease in cloud infrastructure costs: Improved cloud architecture and resource management led to cost savings.
• 2x surge in order volume management: The platform's scalability allowed it to handle a 2x surge in order volume during peak periods without performance degradation.
• 50% reduction in customer onboarding time: The automated process reduced the time needed to onboard new customers by half, with no manual intervention.