An AI-native MRO intelligence layer deployed across seven SAP-isolated refineries in 11 weeks, releasing $46M in working capital, cutting emergency procurement by 44%, and eliminating PSM substitution failures.
One of the largest independent downstream refining companies in the United States, operating seven complex refineries across the Mid-Continent, Southwest, Rocky Mountain, and Pacific Northwest regions.
Combined crude processing capacity exceeds 650,000 barrels per stream day. Asset classes under management include fluid catalytic crackers, delayed coking units, centrifugal compressors, and heat exchangers, with a large rotating equipment population subject to OSHA Process Safety Management and API inspection obligations. For operators running multi-site refinery networks, how spare parts inventory is managed across distributed oil and gas sites determines whether emergency freight becomes the default procurement channel.
At deployment, combined MRO inventory was valued at approximately $285M across seven site storerooms and a central distribution facility. The organisation ran SAP as its primary ERP with separate site-level CMMS instances, resulting in no consolidated visibility or demand intelligence at enterprise level. Each refinery planned and procured independently, with no mechanism to surface surplus stock at peer sites before raising an external purchase order.
"The audit we ran before deployment kept pointing to the same conclusion: we didn't have a parts shortage across our network, we had a visibility shortage. Virtually every emergency freight event involved a part that was physically somewhere in our system. MRO360 made the network visible in a way our own SAP instances simply could not." (VP Supply Chain & Reliability)
How the company released ~$46M in working capital by fixing the gaps below.
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Accountable for network-wide emergency spend, turnaround readiness, and inventory performance across multiple refinery sites.
Responsible for spare parts availability, stocking policy, and spend control across a multi-site SAP environment.
Managing work order backlogs of 1,500-3,500 items per site and confirming parts availability before every planned shutdown.
Deploying an intelligence layer above existing SAP instances without replacement, migration, or IT disruption.

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