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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.

Tools & Technologies

Automation Anywhere

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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