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Case Study

Intelligent Workforce Management Solution

Client Background

A full-service software development consultancy specializing in mobile and web-based applications, intelligent automation, and assisted reality programs.

Client Need

The Client faced significant challenges in efficiently processing inventory requests within their Quench Inventory system. The primary pain points included:

  • Manual Processing. Transferring stocks between warehouses, whether serialized or non-serialized, required a substantial amount of manual effort and time.
  • Salesforce Instability. The client’s interaction with the Salesforce environment was unstable, leading o operational disruptions.
  • SLA Compliance. The instability of the environment made it difficult to segregate the process flow into shipping or non-shipping based on shipment type, leading to difficulties in meeting SLAs.

Our Solution

To address these challenges, we devised a comprehensive solution:

  • Workflow Management (WLM): Implemented a Workflow Management system to streamline and automate the inventory processing tasks, ensuring they were completed within the specified time frame.
  • Dynamic Variable Handling: Developed a dynamic variable approach to handle the instability of the Salesforce environment. This allowed the system to adapt to changes and disruptions, ensuring smoother operations.
  • Reusable Salesforce Login Code: Created reusable code for SF login that could be used for multiple attempts. This improved the system’s resilience and reduced the impact of intermitted SF issues.
  • Validation Mechanism: Implemented a validation mechanism to determine whether inventory items were serialized or non-serialized based on parts order numbers or serial numbers. This ensured accurate processing and routing of inventory items.

Key Benefits

The implementation of these solutions resulted in significant improvements for the Client:

  • Increased Production Output. The automation and optimization of inventory processing led to a substantial increase in production output. Tasks the previously required manual intervention were now completed efficiently.
  • Consistent Quality. With improved processes and error documentation, the quality of production increased consistently. Errors were identified and resolved promptly, reducing disruptions in operations.
  • Error Logging and Documentation: Implemented an error logging system that captured errors along with relevant images and timestamps. This documentation not only helped in resolving issues quickly but also provided insights for process improvement.

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