How Bayer reduced cost of operation by 30% through post-merger transformation using AI

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Bayer, a global 500 pharmaceutical company grappled with post-merger challenges, striving to achieve synergy targets, particularly in streamlining supply chain operations.

The delay in realizing critical assumptions increased pressure on the CFO and management to fulfill commitments made to the board.

Scout to “find and fix”

Scout’s AI model was quickly put into action across, 7 teams in 12 countries. The AI analyzed how supply chain teams interact with various applications, mapping out how and why work happens the way it does within the supply chain operations which led to:

30%

Reduction in Operational Costs: Streamlining processes and reducing inefficiencies.

10%

Improvement in Cash Flows: Reflecting a more efficient and reliable supply chain process.

25%

Reduction in Delays and Errors: In order processing, enhancing reliability and customer satisfaction

See how Bayer did it

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5/5

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