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97% Time Savings: AI-Powered Automation Transforms Operations at a finance company

From 130 hours to 4 hours: How MuleSoft RPA revolutionized predictive purchasing

The Challenge

A leading North American non-bank, non-captive finance company faced operational inefficiencies due to manual processes within their daily operations.
These manual tasks were time-consuming, prone to errors and hindered overall productivity.

The dataCRaiM Solution

DataCRaiM partnered with the client to implement a MuleSoft RPA-based AI predictive purchase model. We provided comprehensive managed services, including: 

  • Secure Session implementation 
  • Regular upgrades and feature enhancements 
  • Improved error-logging mechanisms 
  • Robust sanity checks before production runs 

Impact

  • Significant ROI - The automated solution delivered a significant return on investment by streamlining operations and reducing manual effort.
  • Dramatically Reduced Manual Effort - Before automation, each manual task took 5-6 minutes, resulting in 130 hours of manual effort per month. However, after automation, the tasks are now completed in just 4 hours with an accuracy of over 98%, resulting in a 97% reduction in manual effort.
  • Increased Efficiency and Productivity - On average, 1,200-1,300 tasks are now processed monthly within hours, significantly improving operational efficiency and productivity.

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