Building Excellence in Inventory Management with Data-Driven Approach

Learn how organizations can drive operational excellence through data-led inventory management strategies.

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Inventory management isn’t just about stock levels – it’s about data, integration, and enabling operational excellence. In this episode of the Thought Leadership Series, host Rohan Salvi sits down with Christopher Henry, Director of Inventory Transformation & Excellence at Smurfit WestRock, to explore what it truly takes to modernize inventory management in today’s data-driven industrial landscape.

From harmonizing inventory data to enabling cross-functional collaboration and leveraging AI for smarter maintenance planning, this episode offers practical strategies and proven insights. Tune in to hear how leading organizations are transforming inventory from a hidden liability into a source of competitive advantage.

Key Take Away :

  • Learn how harmonized, high-quality inventory data supports cost savings, ESG goals, and supply chain reliability.
  • See real-world examples of inventory transformation across large-scale operations.
  • Understand the role of cross-functional alignment between inventory, procurement, and maintenance teams.
  • Discover how KPIs like service level, availability, and excess stock help measure success.
  • Explore where AI, automation, and agentic solutions can make the biggest impact in inventory and master data governance.
  • Hear how Christopher Henry led successful SAP S/4HANA and data transformation initiatives in global enterprises.
  • Walk away with actionable ideas to future-proof your inventory strategy and boost operational excellence.

 

Who Should Listen:

  • Chief Supply Chain Officers (CSCOs)
  • Directors of Inventory Management & Operations
  • Maintenance, Repair & Operations (MRO) Leaders
  • Chief Data Officers (CDOs) & Master Data Managers
  • ERP Program Managers & SAP Transformation Leads
  • Plant Managers & Manufacturing Excellence Leads
  • Asset Management Professionals

    Anyone exploring AI for inventory, reliability, and data optimization

Meet The Speakers

Headshot of Rohan Salvi - Associate Director of Growth @ Verdantis

Rohan Salvi

Associate Director

Christopher Henry

Director, Inventory Transformation & Excellence
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MRO Master Data Management for a leading $12Bn Oil and Gas company

Oil and Gas organizations face huge unwanted costs in the form of losses, penalties and compensation due to industrial accidents, taking a sizable chunk of their revenues. One of the important reasons for failures and accidents is the breakdown of key industrial infrastructure arising from ineffective management of the material base and inefficiencies in the MRO supply chain that are highly critical for the production and maintenance cycles.

More and more organizations are now looking to establish Master Data Management (MDM) implementations in order to manage their assets through informed decision-making based on reliable data and ensure optimal industrial safety across the enterprise.

About the company:

This US based company is a global leader in providing essential mechanical components for both land and offshore drilling rigs, complete drilling and well servicing rigs, as well as a comprehensive range of tubular inspection, internal coatings, drill string equipment, lifting and handling gear, and downhole drilling tools. It also offers supply chain services through distribution centers strategically located near major drilling and production sites worldwide. With over 800 manufacturing, sales, and service centers globally and annual revenues exceeding $12 billion, the company delivers customer-focused solutions tailored to meet the energy industry’s quality, productivity, and environmental needs.

Material Master Data Challenges

The company faced significant challenges with their master data.
• Lack of consistency and standards for the master data
• Incorrect, incomplete, unclassified and outdated attribute fields of master
data High volumes of data in multiple languages
• Multiple ERP and other legacy instances across the company
• Poorly structured material descriptions
• Lack of data governance and collaboration across cross-functional divisions and locations

Solution & Results Achieved

Solution: Material Master Data Harmonization & Ongoing Maintenance

The company implemented Verdantis Material Harmonize to cleanse and enrich its historical material master data. Using AI-powered tools and the Verdantis Content Repository, the solution classified, standardized, and eliminated duplicate materials.

Once the data was harmonized, Verdantis Material Integrity was deployed for ongoing data governance. It ensured continuous data accuracy through real-time validation, AI-driven classification, and duplication prevention, maintaining high data quality across enterprise systems.

Key Actions Taken:

  • Classified 150,000 materials into 1,210 UNSPSC and 500+ HTS codes
  • Parsed and normalized unstructured material attributes
  • Eliminated duplicates and enriched material descriptions
  • Established real-time data governance and approval workflows
  • Created a centralized repository for cross-functional data access

Results Achieved:

  • Improved Data Accuracy – Eliminated duplicate and inconsistent material records
  • Enhanced Classification – Standardized materials with UNSPSC & HTS codes
    Better Inventory Management – Optimized stock visibility and usage
  • Faster Procurement & Compliance – Enabled seamless material search & regulatory adherence
  • Sustainable Data Governance – Ensured ongoing accuracy with AI-driven maintenance
  • Informed Decision-Making – Centralized data repository for improved operational efficiency

By integrating Material Harmonize & Material Integrity, the company achieved a scalable, AI-powered Master Data Management framework, ensuring long-term data consistency, efficiency, and compliance.

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