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Solution Accelerator

Transaction Enrichment With Merchant Classification

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook


Transaction Enrichment with Merchant Classification

Automate transaction enrichment to better understand your customers

These Solution Accelerators have two purposes. First, it shows how the Lakehouse for Financial Services enables banks, open banking aggregators and payment processors to address the challenge of merchant classification. Second, it shows how to use ML to enrich transaction data with contextual information — including store brand and category for downstream use cases, such as customer segmentation or fraud prevention.

Gain new customer insights from contextual information

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Build hyper-personalized experiences with transaction data

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Case study

Transaction enrichment with merchant classification case study





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