AI and MRO Inventory Data

Another problem we often tangled with in the enterprise:


Maintenance Repair Operations

Artificial Intelligence wades through murky MRO Inventory Data to drive down costs with better business decisions

Webinar from Verusen and Accenture Details How AI and Predictive Analytics Clarify Data Across Multiple Systems to Right-Size Plant Inventories

ATLANTA, Jan. 30, 2020 /PRNewswire/ -- The ability of artificial intelligence (AI) to improve visibility of ERP inventory data, as well as the implementation timeline for using AI on a daily basis, were among the top interests of participants during a recent webinar, "Taking Stock of AI Technology for Inventory Management."

The webinar featured expert advice from CEO Paul Noble of Verusen, an innovator in materials inventory and data management technology, and Erik Green, practice lead, Materials & Equipment, at Accenture, a leading global professional services company.

"Reducing MRO inventory is one way for asset-intensive manufacturing industries to quickly drive value, but siloed data in ERP and other systems result in redundant parts—and understocking—that infrequent manual cleansing can't address to support dynamic business decisions," said Noble. "It's important for organizations to know that AI is a very real option today that can wade through data from multiple systems to present real-time suggestions for in-house teams—and then learn from those decisions."

The webinar demonstrated how AI replaces disconnected data silos with a digitized network footprint of all goods, services and logistics throughout the supply chain so inventory decisions are visible to teams across an organization. It covered how AI's machine-learning capability continually updates and interprets market trends to drive accurate predictive inventory analyses for indirect MRO, direct goods and even finished products, instead of relying on subjective decisions.  ... "