AI case study

ThredUpMarketplace operations

Silos kept new products stuck in development for months. A unified platform now lets teams ship MVPs in just two weeks.

Published|10 months ago

Key results

Annual Savings
~$500k
Onboarding Time
4 days
vs 2 weeks

Result highlights

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The story

Context

The world's largest online consignment store processes over 220 million unique items, treating every single piece of clothing as a distinct SKU with its own lifecycle.

Challenge

Fragmented data silos meant onboarding new analysts took up to two weeks, while developing minimum viable products required two months. Training...

Solution
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Scope & timeline

  • MVP production time cut from 2 months to 2 weeks
  • Garment model deployed in 1 month vs 6 expected

Quotes

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The company

Online consignment and thrift marketplace for secondhand fashion and apparel.

IndustryRetail
LocationOakland, CA, USA
Employees1K-5K
Founded2009

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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