MRO360 is the parts-readiness layer for predictive maintenance. When a failure is anticipated, MRO360 makes sure the spare is scored, forecast, stocked, and confirmed, so a prediction becomes a resolved work order, not an early warning of a stockout. It works above your existing systems. Deployed in 8 to 12 weeks.
Where MRO360 fits today: it does not replace your condition-monitoring or APM tools, and it does not generate the prediction. It takes the failure signals your maintenance program already produces and makes sure the parts are ready. Direct ingestion of live predictive signals is on the MRO360 roadmap.
Predictive maintenance earns its return only when the predicted failure can be fixed on time. If the flagged part carries a long lead time and no buffer, an accurate prediction changes nothing except how early you learn the asset is going down. The intelligence was never the gap. The storeroom was.
The failure is flagged weeks ahead, but the spare has a long lead time and no stock. The prediction is right and the asset still goes down.
Condition alerts cluster and create bursts of demand that no static reorder policy anticipated. Buffers set for steady use fall short.
Working capital is locked in parts that rarely fail, while the parts your predictions flag most often run short.
When a failure is anticipated, whether from your predictive tool or from failure, notification, and RCA history, MRO360's agents answer the questions that decide whether you can actually act on it in time.
Is this a part I cannot afford to be caught short on?
The part is scored on the equipment it supports, its lead time, and how many vendors can supply it, so a predicted failure on a single-source, long-lead spare gets the attention it needs.
Agent 3 · Spare Parts CriticalityHave I forecast the demand this failure pattern creates?
Demand is forecast from consumption and failure history, so recurring failure modes translate into planned parts demand rather than repeated surprises.
Agent 6 · Demand ForecastingWill the part be on the shelf when the prediction comes due?
Reorder points and safety stock recalculate against real supplier lead-time variability and criticality, so the spare is in place before the predicted failure window.
Agent 7 · Reorder PointIf it is short, can I transfer instead of emergency-buy?
When the spare is short, the agent finds the same part sitting as surplus at another plant and recommends an internal transfer before any external PO.
Agent 9 · Interplant TransferIs the resulting work order actually releasable?
Before release, the agent checks on-hand stock and incoming POs against demand and flags the job if material is short or the vendor is unreliable.
Agent 8 · Work Order PlanningWhat if the original part is discontinued?
Obsolescence and substitute agents flag discontinued parts and recommend qualified alternates with vendor and cost, so a prediction is never stranded on an unavailable spare.
Agent 4 · Obsolescence + Spare Seek AIToday MRO360 learns from your failure, notification, and RCA history to make the parts side of predictive maintenance reliable. On the roadmap, MRO360 ingests live predictive and condition-monitoring signals directly, so a sensor-driven prediction flows straight into parts planning. The items below are labeled by status, so it is clear what ships today and what is ahead.
How this sits with your existing tools: MRO360 complements the condition-monitoring or APM platform that generates your predictions. It does not replace the sensors or analytics behind the prediction. Today it acts on the failure signals your program produces, and direct ingestion of live predictive signals is on the roadmap.
Book a working session and we will show you what MRO360 surfaces in your own maintenance and inventory records, from criticality to reorder to interplant transfer.
Get a free demo[email protected] • +1 (866) 987-4463 • www.verdantis.com
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