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Automation of transaction queue monitoring for MRO

Client provides comprehensive MRO supply chain, asset and technology services that drive increased productivity, profitability and competitiveness in the global marketplace for a wide range of enterprise customers.
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Their DevOps team monitors individual customer queues for every three hours. If any error occurs in the queue they either get reprocessed or ignored. There are instances where few items get intimated to operation team based on the business conditions. It consumes one and a half manual work hours per day.

Business Challange

  • The DevOps team is required to fill the error transactions manually in the excel sheet.
  • Once the checklist process has been completed, the team sends a report manually to the customers.
  • The checklist execution cannot be started and completed on time due to various factors.
  • In case of excess data influx, processing time and sending of reports get delayed.
  • The tedious task of maintaining the daily generated reports based on date and also execution time of the report has to be continued due to the absence of Supply management process automation.

How Avasoft Helped?

  • AVASOFT proposed a process automation solution to monitor the Sync transaction queues for their individual customers.
  • The MRO DevOps support team were relieved from the manual repeatable tasks due to the onset of DevOps automation.
  • Through this process, the logs for all activities could be maintained.
  • In case of any unexpected error, during the process, the DevOps team gets alerted by an email through a processing bot
  • AVASOFT delivered the bot, capable of monitoring the transaction queue for new customers who will be engaged in future.

Tech Stack

tool-uipath
Excel
ms-dynamicseam
smtp-mail

Value Addition To Customer

  • Allows the support team to concentrate on the scenarios where actual human intervention is needed.
  • Reports are sent to the clients on time, which is one of the greatest advantages of Robotic process automation in the supply chain.
  • When compared to the average human processing speed, automation resulted in speed increase by 3 times through the bot.
  • Errors in the transaction queues are automatically reprocessed and the waiting time of the to-be-processed error items have been reduced to less than an hour.
  • The errors get intimated to the operation team three hours earlier compared to the previous processing time.

Business Gain

  • The cycle time of the transaction is reduced from 25 minutes to 6 minutes resulting in 100% accuracy.
  • Resulted in cost saving along with the increase of 68% ROI.

Vertical Industry

  • Supply Chain Management

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