Learn how poor asset and BOM data is slowing down your maintenance and how AI-powered solutions can fix it for good.
Is your maintenance team constantly playing catch-up with delayed work orders, missing BOMs, and reactive fixes? You’re not alone. In this episode of the Verdantis Insights Podcast, host Priyanka Agarwal, Global Marketing Specialist at Verdantis, sits down with Mohit Mittal, Product Manager at Verdantis, to uncover the hidden culprits behind work order inefficiencies, and how to overcome them.
From fragmented asset records to unlinked BOMs and duplicated part orders, we unpack the data challenges plaguing industries like manufacturing, utilities, energy, and F&B. Mohit shares real-world examples and explains how AI-powered solutions and a data-first approach can transform your maintenance operations and cut downtime.
Why poor asset and BOM data is the root cause of most maintenance inefficiencies
How fragmented records lead to costly delays and unplanned downtime
Common red flags: inconsistent descriptions, free-text work orders, and missing asset links
How leading companies are fixing the problem using AI-powered classification, enrichment, and governance tools
The Verdantis approach to modernizing asset data and automating work orders
Actionable steps to audit and improve your current maintenance data landscape
This episode is a must-listen for:
Maintenance & Reliability Engineers
Plant Operations Managers
Asset Management Leads
CMMS and SAP PM Users
MRO Procurement Specialists
Digital Transformation Leaders
Anyone responsible for uptime, compliance, or maintenance performance
Extract, Enrich & Sync Technical Data to ERP Systems
AI led enrichment tool for data harmonization
AI-powered parts and inventory management software

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