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Revolutionizing Order Management Through RPA

Client Background

A large scale manufacturing company, faced challenges with a labor-intensive manual order entry system. The cumbersome process resulted in inefficiencies, order fulfillment delays, customer dissatisfaction, and escalated operational expenses.


The company struggled with a labor-intensive manual order entry system, causing inefficiencies, delays in order fulfillment, customer dissatisfaction, and increased operational costs.

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To address these challenges, the manufacturing company implemented Robotic Process Automation (RPA) to streamline their order management process:

  • RPA Implementation: The company introduced RPA bots programmed to automate the extraction of order data from incoming emails. These bots validated and cross-referenced the data with existing customer information, and subsequently, automatically inputted the accurate data into the company's order management system.

  • Automated Order Entry: The RPA bots were trained to handle repetitive, rule-based tasks, eliminating the need for manual intervention in order entry. This significantly reduced human errors and ensured consistent and accurate order information.



The adoption of RPA brought about significant improvements in the order management process for the manufacturing company:

  • Error Reduction: RPA reduced order entry errors by a staggering 85%, leading to a substantial improvement in order accuracy. The automated process minimized inaccuracies, ensuring precise order details.

  • Efficiency Gains: The implementation of RPA accelerated the order management process by 60%. Orders were fulfilled much faster due to the automation of data entry tasks, resulting in quicker processing times.

  • Cost Savings: Labor costs associated with manual order entry were drastically reduced by 70%. The automation of tasks significantly lowered operational expenses, contributing to overall cost savings.

  • Enhanced Customer Satisfaction: With faster and more accurate order processing, customer satisfaction scores increased by 15%. Orders were processed efficiently, leading to improved customer experiences and heightened satisfaction levels.

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