SUCCESS STORY

This is one of PLYN’s flagship success cases, where AI-driven root-cause analysis and supplier-strategy modeling identified the true drivers of sudden cost increases and enabled annual savings of KRW 300 million in raw materials and packaging.

Dubi Industry resolves the surge in gardenia and packaging material costs with AI-driven market intelligence.

Dubi Industry · PLYN Adoption Success Story




 

KRW 300M annual cost savings

Identified the cause of 100% gardenia price surge

AI-driven market & demand analysis–based strategy

Company Background & Key Challenges

Before

  • • Unable to identify the cause of the sudden surge in gardenia (raw material) prices
  • • Lacked access to Chinese local market data and price trends
  • • No practical strategies beyond basic supplier renegotiation
  • • Insufficient decision-making information when issues arose

After · with PLYN

  • • AI identified the cause of the 100% surge in Chinese gardenia raw material prices
  • • Rapid rise in demand from gardenia beverages → confirmed supply shortage structure
  • • Automatically recommended optimal purchasing-timing strategies
  • • Rebuilt packaging-material sourcing into a competitive bidding structure → achieved real cost reduction
Cost Reduction Results: Raw Materials & Packaging

Item 01

Gardenia (Raw Material)

100%

Identified cause of price surge

AI accurately analyzed the reason behind the 100%+ surge in Chinese gardenia market prices, revealing a “demand spike → supply shortage” structure.

Item 02

Packaging Material

18%

KRW 300M annual savings

By identifying potential new suppliers and introducing a competitive bidding structure, Dubi Industry achieved KRW 300 million in annual savings in packaging materials.

Summary of PLYN’s Impact

With PLYN, Dubi Industry clearly identified the root cause of cost surges and successfully achieved substantial cost reduction.

Experience PLYN’s AI-driven procurement intelligence— from raw material price analysis and market demand detection to supplier strategy recommendations in real time.

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