Real Time Integration

Case Study: Building a Real-Time Data Platform for a Supply Chain Company to Improve Customer Service

Background

Our client is dedicated to optimizing the pharmaceutical supply chain. They invest in innovative technologies to deliver top-tier services to their customers. By streamlining processes, they ensure the most efficient and effective solutions.

Challenge

As a mid-sized supply chain company, they encountered several challenges that hindered their efficiency and customer service:

  • Manual Reporting: Significant time was spent on manual reporting, which was not only time-consuming but also prone to errors.
  • Increasing Reporting Demands: As the company grew, their need for efficient data management increased. There was a growing demand for comprehensive and timely reports, both internally and from customers.
  • Customer Insights: Providing customers with access to insights and data was becoming increasingly important.

Our Approach & Solution

To address these challenges, we implemented a multi-faceted solution:

  1. Data Stream Automation: We automated many of the manual reporting processes managed in error-prone spreadsheets, creating a real-time data stream.
  2. Data Platform: We established a robust, cloud-based data platform to handle increasing reporting demands. This platform facilitated real-time data access and management for both internal operations and external customer needs.
  3. Improved Data Management: The combination of the new data platform and data streaming capabilities reduced manual workload and enhanced overall data management. This streamlined process resulted in more reliable and timely data insights.

Benefits

  • Improved Cycle Time: The real-time data platform improved the cycle time by 40%, enabling faster and more efficient operations.
  • Enhanced Customer Service: Customers gained access to real-time insights and data, improving their overall experience and satisfaction.
  • Operational Efficiency: Automating manual processes and integrating data management systems significantly reduced the time and errors associated with manual reporting.
  • Scalability: The scalable nature of the cloud-based platform ensured our client could continue to grow and meet increasing demands without compromising on data accuracy or reporting speed.

By building a real-time data platform and automating manual Excel workflows, we enabled our client to significantly optimize their operations and enhance their customer service.

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