AI case study

Dongwon GroupSupply chain forecasting

Siloed data left procurement reactive. A unified model now forecasts raw material prices with 96% accuracy, optimizing inventory.

Published|1 month ago

Key results

Monitoring Cycle
1 hour
vs daily
Forecasting Accuracy
96%

Result highlights

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The story

Context

A South Korean seafood and logistics conglomerate generating approximately 10 trillion won in annual revenue across food, packaging, and secondary battery sectors.

Challenge

Fifty years of accumulated data remained trapped in business unit silos with inconsistent definitions, preventing the creation of unified management...

Solution
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Scope & timeline

  • 10% of office workers using AI tools
  • Projected 50% employee adoption

Quotes

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The company

Dongwon Group logo

Dongwon Group

dongwon.com

Conglomerate specializing in seafood, food processing, logistics, and packaging.

IndustryConsumer Products
LocationSeoul, South Korea
Employees10K-50K
Founded1969

The vendor

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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