Accelerated Customer Onboarding by 56% & Saved 40% in FTE Costs with Automated Credit Management

Impact Achieved

50%

Reduction of Credit Approval Layers

56%

Reduction in Average Approval Time

15%

Increase in Auto Approvals

40%

Reduction in Team Size Making Savings in FTE Cost

We reduced dramatically the number of approved layers. This average to approve a credit limit dropped from nine to four, which is basically because we got rid of people that we didn’t go into having the approval flow.

case-study-speaker

Santiago Tommasi

Senior Credit Manager

The Mosaic Company

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About Mosaic

Know how Mosaic, a fortune 500 mining company cut costs with automated credit approvals and faster customer onboarding using artificial intelligence.

Region

North America

Revenue

$12.35B

Employees

12500+

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Top Challenges

  • Poor CX due to complex credit approval and periodic review hierarchies.
  • Delayed credit management due to the process of manual credit data aggregation
  • Lack of real time visibility into customer trends and complex credit scoring models.

Business Benefits

  • With auto-approvals, the credit team is able to fast-track the periodic reviews for all customers.
  • Auto-aggregation of credit data from global and local agencies ensuring smooth credit management.
  • Customized credit scoring models and real-time credit monitoring to counter any possibility of risks.

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