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USE CASE

Reduce Accounts Receivable Matching Effort by 71%

Machine learning in Ceta Cash Application learns from historical cleared items to suggest matches for open projects, automating AR matching.

Overview

Automated accounts receivable matching reduces manual work and accelerates cash collection.

Benefits

  • Reduce manual AR matching workload by ~71%
  • DSO reduced by ~0.5 days
  • Improve cash collection efficiency

Business Value

  • Faster cash flow

    Accelerate receivables collection and reduce working capital risk

  • Lower error rate

    Machine learning reduces mismatches and manual corrections

BizOpX

Enabling the Next Paradigm Shift in Enterprise Management

Products

  • CETA Platform
  • AI-Native Apps
  • AI Agents

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