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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

Summary

Join us to explore Bayer’s transformative journey with Scout insights and discover how leveraging technology can drive operational efficiency and strategic alignment in your organization. Watch Radovan Simic, Bayer’s Head of Digital Transformation, as he explains how Bayer improved its planning processes using Scout insights. Scout identified inefficiencies, showing too much time was spent on manual tasks in MS Excel instead of the ERP system. These insights led to streamlined processes, boosting productivity and employee satisfaction. Looking forward, Bayer plans to use Scout insights for their SAP S4/Hana implementation, aiming to streamline operations and prepare for future upgrades.

Bayer’s experience with Scout shows the importance of continuous improvement, bridging the gap between human skills and AI, and fostering a culture of innovation.

Watch how Bayer’s use of AI and Interaction Data helped their organization’s operational efficiency and strategic alignment.

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