The oil and gas industry suffers millions in losses due to a lack of control over MRO. A 2016 study found that offshore oil and gas platforms experience an average of 27 days of unplanned downtime per year = $88 million.
Download our report to learn more about how MRO inefficiencies are impacting the oil and gas industry.
Retail and finished goods inventory have relatively clean demand signals: products move through predictable sales channels, stock turns are measured, and replenishment follows a rhythm.
MRO spare parts are another world entirely:
One pump breakdown can drive hundreds of thousands in urgent part demand overnight. No forecast model based on past “sales” can capture that.
A single facility may hold tens of thousands of unique part numbers—most of which move only once every few years, if at all.
Finance sees idle capital, but Operations sees insurance against downtime. Many parts are carried “just in case,” regardless of historical consumption.
Troubleshooting pulls, shadow inventories, and mis-coded transactions often create demand patterns that look nothing like reality.
The result? Practices that work for retail—like chasing high turns or applying uniform reorder logic—fall apart in the MRO environment. Managing spares isn’t about “how fast it sells,” but “what happens if it fails.”
That’s why MRO optimization requires a different lens entirely.
Deployed by global leaders in oil & gas, chemicals, and manufacturing.
“We were struggling with incomplete and inconsistent master data across our system….Many of the parts, don’t have pictures, and we were still purchasing from OEMs. We didn’t have a standardized master data set for our descriptions of parts, making searching for parts impossible. We had no idea what we had.”
Morgan Mayes
Procurement Category Manager, Mark Anthony Brewing
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