AI case study

SimplFraud detection and underwriting

Siloed data slowed model training to weeks. Now, teams update fraud logic in one day to spot drift and approve credit instantly.

Published|1 year ago

Key results

Faster Time to Market
90%
Faster Turnaround
35%

Result highlights

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The story

Context

India’s premier checkout and post-purchase platform serves 30,000 merchants and processes over 10 million monthly transactions across 100 financial workflows.

Challenge

Siloed data and an outdated stack caused frequent failures, with machine learning models taking several weeks to train. This latency prevented the...

Solution
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Scope & timeline

  • ML training time cut from weeks to 1 day

Quotes

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The company

Checkout and Buy Now Pay Later platform for online shoppers and merchants.

IndustryFinancial Services
LocationBengaluru, KA, India
Employees251-1K
Founded2015

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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