Use Cases

TRANSACTION CATEGORIZATION

TRANSACTION CATEGORIZATION PAIN POINTS

  • knowledge of customers spending behaviours
  • Data readability
  • Poor Segmentation

TRANSACTION CATEGORIZATION: HOW IT WORKS

CRIF categorization engine provide insights about your customer base by leveraging account transaction data. The categorization engine is powered by a proprietary categorization algorithm based on machine learning and artificial intelligence that turns unstructured data into structured insights.

TRANSACTION CATEGORIZATION BENEFITS

  • Improve the knowledge of customers spending behaviours
  • Data readability
  • Targeted marketing campaigns
  • > 90% categorization accuracy for better customer profiling
  • > 200 categories for consumer and > 170 categories for business
  • 3x redemption of marketing campaigns

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