This webinar covers the practical applications of AI in MRO data management and what it means for companies that are facing supply chain constraints due to data quality concerns and antiquated maintenance practices.
The data management industry is undergoing a seismic shift with the rise of embedded artificial intelligence in software solutions.
In this webinar, we will cover PRACTICAL applications of AI in MRO data management and what it means for companies that are facing supply chain constraints due to data quality concerns and antiquated maintenance practices.
Autonomous enrichment of MRO records from verified first and third-party data sources at scale
Use AI to unify supplier data from disparate systems, complete vendor records details autonomously, enhance relationships and negotiating power.
• How AI models trained on 1M+ MRO parts can standardize and extract key product attributes from unstructured descriptions and loose text.
• Standardizing Units of Measure information from legacy ERP Data
• Leveraging AI to identify criticality of MRO parts autonomously from Equipment BOM details.
• Seamless, real-time sync between Equipment BOM & Material Master/Item Master
We offer unparalleled scalability and multi-lingual capabilities, proven to optimize business processes and drive bottom-line improvements.
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.
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: 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:
Results Achieved:
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.
