DataRush: A futuristic logistic solution that eases logistics operations for stakeholders

Category: Supply chain

Services: Supply Chain Automation, Demand Forecasting, Inventory Management Solutions, Workflow Optimization, Real-time Monitoring and Tracking

  • 25% efficiency boost in warehouse ops
  • 20% faster order-to-delivery cycle
  • 80% reduction in manual data handling
  • 95% enhanced real-time shipment visibility

About DataRush

DataRush is a platform for business owners, directors, and operations managers who require fast, reliable, and efficient logistics services in Texas. It has designed a full range of custom logistics solutions to ensure that managing your pickup, delivery, and warehousing needs is as easy and convenient as possible.

Problem statement

  • DataRush administrators were burdened with manually checking emails and uploading data on Advanced Shipment Notification (ASN) sites for upcoming freight, resulting in inefficiency and delays in logistics management.
  • The extensive paperwork involved in filling out physical forms for deliveries and consignment verifications added complexity and consumed valuable time and resources.
  • With only 6-8 APIs available in the customer portal, DataRush faced limitations in automating and streamlining logistics processes, hindering the digitization of their supply chain operations.
  • DataRush sought extensive automation to digitize their logistics processes, reducing manual intervention and ensuring accuracy in data handling.
  • There was a pressing need for a unified system that could seamlessly integrate various logistics components, providing a holistic view of operations.
  • Automating the process of exporting data from a third-party logistics portal and integrating it into the DataRush portal was a critical requirement, particularly for identifying new orders and streamlining dispatch tracking.
  • DataRush intended to expand its portal to incorporate functionalities such as scheduling and routing, allowing drivers to mark orders as ‘complete’ within the portal to replace the existing Dispatch track.
  • The immediate focus was on building a process within the DataRush portal to simplify and automate warehouse operations, reducing manual efforts and enhancing efficiency.

Proposed Solution & architecture

Simform addressed a series of critical challenges in their logistics operations by leveraging a suite of AWS services.

  • Automated email checks and data uploads with AWS Lambda and Amazon S3.
  • Streamlined paperwork by using Amazon S3 for document storage and AWS RDS for structured data.
  • Overcame API limitations using AWS API Gateway and Lambda for custom integrations.
  • Achieved extensive automation and workflow orchestration with AWS Step Functions and Lambda.
  • Unified systems using AWS EC2 and RDS for a holistic logistics view.
  • Automated data export from a third-party portal with AWS Data Pipeline and Amazon S3.
  • Expanded portal capabilities with AWS EC2 and RDS for scalability and performance.
  • Simplified warehouse operations using AWS Lambda and Amazon S3.

Metrics for success

  • Realized a 25% improvement in warehouse operations efficiency through the automation of data export/import processes and streamlined dispatch tracking.
  • Achieved a 20% reduction in the order-to-delivery cycle, enhancing overall logistics efficiency and customer satisfaction.
  • Decreased manual data handling efforts by 80% through automation, freeing up valuable resources for strategic logistics management.
  • Achieved a 95% improvement in real-time visibility into shipment status, reducing delays, and enabling timely interventions.

Architecture diagram


AWS Services

  • Amazon EC2: We utilized Amazon EC2 instances to host scalable applications, ensuring optimal performance for supply chain operations, especially during peak times.
  • Amazon EBS: Our experts leveraged Amazon Elastic Block Store (EBS) for flexible and high-performance storage, enabling the efficient management of large datasets associated with supply chain processes.
  • Amazon RDS: We implemented Amazon Relational Database Service (RDS) for robust database management, ensuring the reliability and scalability required for storing and retrieving critical logistics data.
  • AWS Backup: Utilized AWS Backup to safeguard and archive critical supply chain data, providing a resilient and automated backup solution for seamless data recovery and compliance.
  • Amazon S3 for Data Archiving and Analytics: We leveraged Amazon Simple Storage Service (S3) for data archiving beyond 15 days, ensuring compliance with data retention policies and enabling analytics on historical supply chain data.
  • Amazon CloudWatch for Performance Monitoring: Simform implemented AWS CloudWatch for comprehensive performance monitoring of EC2 instances and RDS databases, ensuring optimal resource utilization and proactively addressing potential issues.
  • AWS Certificate Manager for SSL Certificates: ur experts enhanced SSL implementation by using AWS Certificate Manager for managing SSL/TLS certificates, ensuring secure and cost-effective encryption for data in transit.

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