Leveraging AI to extract and map attributes from unstructured descriptions, ensuring standardized, structured data.
By automatically identifying key specifications, manufacturer details, and part numbers, AutoSpec streamlines your data management and enhances operational efficiency.
Verdantis serves leading global enterprises to drive success in their digital transformation, ERP implementation, and data management efforts. By leveraging our AI-powered master data solutions, clients achieve more accurate data that powers decision-making and operational efficiency. Our collaboration with clients focuses on delivering tailored solutions that align with their business goals, ensuring long-term value and competitive advantage in today’s dynamic market.
AutoEnrich AI seamlessly integrates into existing IT ecosystems, enhancing data quality without disrupting operations. It supports compatibility with ERP, EAM, and PLM platforms, enabling organizations to maintain structured and actionable master data.
SAP
Oracle ERP
Microsoft Dynamics 365
Infor ERP
IFS
IBM Maximo
SAP EAM
Infor EAM
AssetWorks
Hexagon EAM
Siemens Teamcenter
PTC Windchill
Dassault Systèmes ENOVIA
SAP PLM
Arena PLM
At Verdantis, our industry-specific use-cases have truly helped us deliver exceptional value to our customers
MDM products for both upstream and downstream operations for all types of Energy, and Oil & Gas Companies
We support enterprise-scale mining companies to manage production-level master data management of all types
Data management solutions that support companies supplying corrugated boxes, plastic packaging, films and more
Solutions for companies supplying pharmaceutical APIs, chemical formulations and industry solvents for streamlining operations
Global Manufacturing giants in packaged foods, agro-processing and fast moving F&b products rely on Verdantis for MDM solutions
We work with suppliers of raw construction products, cement production companies and help them achieve manufacturing excellence
Industry-specific use-cases for global giants in fast moving FMCG products like tobacco, personal care, stationery, cleaning products & more
Full stack ERP Master Data management for companies dealing in agriculture, crop-processing and agro-processing
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.
