Partlinq

The Partlinq MRO Platform, developed by Enventure, is a MRO Data Management Solution that aims to meet the needs of asset-intensive organizations. According to the vendor, this platform is targeted at businesses of various sizes and caters to professionals such as Maintenance Managers, Supply Chain Managers, Procurement Managers, Plant Managers, and Asset Managers. It is widely adopted across industries including Manufacturing, Oil & Gas, Mining, Pharmaceuticals, and Food and Beverage.

Key Features

MRO Data Excellence: According to the vendor, the platform offers capabilities to enhance spend analytics, procurement, and plant operations. It aims to improve data quality for large volumes of MRO parts across systems by cleaning up, de-duplicating, standardizing, and enriching the data. The vendor claims that this can lead to enhanced data quality and accuracy for improved spend analytics and profitability.

MRO Data Governance: The vendor states that the platform helps preserve the quality of material master data over time by establishing a reliable and sustainable data governance model. It follows a multi-stage approach that includes data audit, taxonomy design, data cleansing and enrichment, crib crawl, and data governance. According to the vendor, this approach can help reduce procurement costs, optimize inventory levels, mitigate supply chain risks, and ensure consistent master data management.

Unique AI-based technology: The platform is described as fully customizable, integrated, and smart, utilizing proprietary AI-based technology for accurate data analysis and valuable insights. The vendor claims that it offers efficient and accurate data cleansing, enrichment, and standardization. Additionally, it provides custom solutions for managing MRO material catalogs, adhering to industry standards such as ISO 8001.

Partlinq MDG: According to the vendor, the platform aims to reduce the total cost of ownership and implement centralized MRO data governance. It ensures sustained data integrity and consistency across locations and functional groups through seamless integration with CMMS/EAM systems like IBM Maximo, SAP, and Oracle. The vendor also highlights customizable workflow options for efficient management of new item creation and data approval processes.

Partlinq Workbench: The vendor describes this as a cloud-based solution for cleaning up, de-duplicating, standardizing, and enriching MRO data. It offers custom solutions for managing MRO material catalogs based on industry standards such as ISO 8001. The vendor claims that it can improve data consistency and accuracy across ERP and EAM/CMMS systems, enhance procurement efficiencies, optimize inventory, and improve vendor relationships.

Crib Crawl: The platform includes functionality to inspect, identify, and count the stock of items in a storeroom or warehouse. According to the vendor, this feature helps bridge the gap between system data and actual inventory, creating an updated and accurate baseline for inventory position. The vendor claims that this can lead to a reduction in overstocking and improvement in cost reduction and plant reliability.

Data Audit: The vendor states that the platform offers a multilayered discovery process to assess data quality and fitness for purpose. It helps identify business pain points and analyze material and vendor data. The vendor claims that it determines corrective and preventive steps to improve data quality and provides a report with findings and recommendations for data improvement.

Data Cleansing & Enrichment: According to the vendor, the platform allows consolidation of data from multiple systems to create a complete and accurate MRO database. It offers functionalities to de-duplicate, categorize, and provide detailed descriptions for informed decision-making. The vendor claims that it can improve spend analytics and business intelligence for maximizing MRO spend. Additionally, it provides custom solutions for managing MRO material catalogs based on industry standards like ISO 8001.

Data Classification: The vendor states that the platform enables the implementation of standard or custom taxonomy for efficient material classification. This functionality aims to enhance spend analytics and derive supplier intelligence. According to the vendor, it helps identify cost-reducing areas and gain insights into inventory movements. The platform also offers mapping of multiple classification systems or mapping items across classifications.

Taxonomy / Schema Design: The platform supports the development of a well-structured MRO Data Taxonomy for efficient material classification. The vendor claims that it improves data consistency and accuracy by defining rules and systems. It offers custom taxonomy development based on industry and specific needs, including multilingual material data descriptions for global organizations.