MRO INVENTORY OPTIMIZATION SOFTWARE
3X ROI guaranteeMRO inventory optimization that balances working capital and risk.
Verusen’s MRO inventory optimization sets the right stocking level for every part at every site, using criticality, lead time, and usage, and keeps it current as conditions change. Lower excess, fewer stockouts, and no data cleanse first.
ILLUSTRATIVE EXAMPLE · STOCKING POLICY
Works on top of the systems and data you already have. No cleanse project, no rip-and-replace.
What is MRO inventory optimization?
MRO inventory optimization sets the right stocking level for every spare part and maintenance material at every site, balancing working capital against the risk of a stockout. It weighs criticality, lead time, and usage variability, and keeps policies current as demand and supply conditions change.
Why guesswork fails
Too much of the wrong stock. Not enough of the right stock.
Excess as insurance
Many teams carry extra stock as a hedge against stockouts. It ties up working capital finance wants back.
Stockouts and downtime
One missing critical spare turns a two-hour repair into a two-week outage.
Static policies
Min/max levels set years ago can’t keep pace with changing demand, lead times, and part criticality.
How it works
Always-on optimization, approved by your team.
Verusen adds an AI-powered MRO optimization intelligence layer on top of your existing ERP and EAM, no rip and replace required.
Connect
Verusen reads your ERP and EAM data as-is: consumption, lead times, costs, work orders, and purchasing history.
Optimize
AI normalizes, dedupes, and scores the criticality of every material, then ranks stocking-policy changes by recoverable dollars, site by site.
Update
Your team approves or rejects each change. Approved changes flow back into your ERP or EAM automatically.
What the platform does
- Ingests and understands the context of your material data from your systems of record: work order and procurement history, supply constraints, and lead times.
- Identifies ongoing savings and risk opportunities by automating complex data analysis.
- Recommends stocking-policy adjustments continuously as business and market conditions change.
How Verusen handles spare parts criticality
Every stocking recommendation weighs the operational consequence of a stockout, not just demand history. Verusen scores parts by criticality using asset context, lead time, and usage together, so line-stopping spares get protected levels while low-consequence items release working capital. Your team reviews and approves every change, and criticality scores update as assets, suppliers, and lead times change.
Deloitte research (Predictive Maintenance and the Smart Factory, 2017) estimates that poor maintenance strategies can reduce a plant’s productive capacity by 5 to 20 percent. That capacity risk is the other side of every stocking decision. Source: Deloitte
Fits your existing stack
How Verusen works with your ERP and EAM
Verusen is not a replacement for your ERP or EAM, and it does not compete with them. It reads their data as-is and adds the spare-parts optimization layer those systems were never designed to be.
| Dimension | Your ERP (e.g., SAP, Oracle) | Your EAM/CMMS (e.g., IBM Maximo) | What Verusen adds |
|---|---|---|---|
| Role in your stack | System of record for purchasing and finance | System of record for maintenance and assets | Optimization layer that reads both |
| Continues to own | POs, stock levels, cost | Work orders, asset history, PM schedules | Ranked stocking, rebalancing, and de-duplication recommendations |
| Data preparation required | None: records stay as-is | None: records stay as-is | Works on existing data as-is, no cleanse first |
| What changes for your teams | Nothing replaced | Nothing replaced | Recommendations flow back into the systems teams already use |
How multi-site optimization works
Verusen connects material, inventory, and supplier records across every site and ERP instance, then resolves duplicates and equivalents so the network sees one version of each material. That view turns redundant purchases into transfers, pools coverage where the network supports it, and keeps site-level policies consistent with network reality. Sites keep their systems; the intelligence layer does the reconciling.
Wherever you’re starting from
Start with the data you have. Scale when you’re ready.
No data team or cleanse project needed.
- Start with the data you have. No cleanse project, no new ERP.
- Live in under 60 days, with 8–10 hours from one or two IT people.
- Plain-language reasons behind every min/max change, so planners can trust it.
The MRO decision layer your stack doesn’t have.
- Continuous re-optimization as demand, lead times, and criticality shift.
- Network context: duplicates, transfers, and criticality across every site.
- Write-back to SAP, Oracle, IBM Maximo, Infor, and more.
Proven where downtime is expensive
Real customers. Real results.
“While many AI initiatives have struggled to meet expectations, this collaboration has exceeded them. We have reduced our maintenance inventories and stockout risks by using their AI tools to bridge our multiple ERP systems. The results are undeniable.”
Gary Phillips · Corporate Procurement, MRO & IT, Domtar
Fragmented material data across a 41-site network hid equivalent and excess stock. Verusen surfaced it without a data cleanse first.
Read the case study
How a top 3 process manufacturer transformed inventory optimization and reliability performance, cutting outage duration from weeks to days.
Read the case study
Seadrill scored parts by criticality and lead time and connected hub-and-spoke inventory visibility across its fleet.
Read the case studyHow we report results: Identified means potential found in the data; verified means realized value. Verusen reports both and never blurs the two.
One platform
Works together with the rest of the platform.
Each capability shares the same Material Graph, so every team works from the same numbers. See the full MRO software platform.
Who should be evaluating MRO inventory optimization
Teams managing spare parts across multiple sites or ERP instances, where excess stock and stockouts coexist and material data is fragmented. The evaluating group spans materials and inventory leaders, maintenance and reliability directors, and procurement owners of MRO spend, plus the finance owner of working capital. Single-site operations with clean data and steady demand have simpler options.
FAQ
Questions buyers ask
Don’t see your question? Talk to an expert. They answer in plain English, not sales speak.
How does Verusen decide the right stocking level?
It combines criticality, lead time, and usage variability for each part at each site, and explains each recommended change in plain language, showing the consumption history, lead-time variability, criticality, and service-level target behind it.
Does it set stocking levels automatically?
Verusen recommends; your team decides. Every change is approved or rejected by your team, and nothing writes back to your ERP or EAM without approval.
We’re just getting started with AI. Is Verusen for us?
Yes. Verusen doesn’t require a master-data cleanse or a data science team. It works from your ERP and EAM data as it is today, goes live in under 60 days with 8–10 hours from one or two IT people, and a dedicated project manager runs onboarding.
Which systems does Verusen integrate with?
SAP ECC, SAP S/4HANA, Oracle EBS/EAM, IBM Maximo, Infor EAM, Octave Attune EAM, IFS, eMaint, Coupa, and Ariba, including multiple instances at once. Approved changes write back to your ERP or EAM automatically.
How do we know we can trust the recommendations?
Every recommendation explains itself in plain language. Your team agrees or disagrees with each change, every decision is tracked, and nothing writes back to your ERP or EAM without approval.
Find the working capital hiding in your storerooms.
Don’t wait for clean data to start making better decisions. Book a demo, or start with something smaller.
Calculate your savings
A personalized savings estimate for your operation.
Open the calculatorWhy legacy tools fall short
Why the systems you run today can’t optimize MRO on their own.
Read it