Right-size your MRO inventory levels with AI-powered algorithms and analytics
AI-driven MRO inventory: Less downtime, more savings
Managing extensive inventories in asset-intensive industries poses significant challenges. With a vast catalog of parts and thousands of unique items to track, maintaining optimal stock levels while meeting service expectations can be daunting. This complexity often results in either excess stock or critical shortages of crucial spare parts, raising costs and decreasing service levels.
IBM Maximo Inventory Optimization is a cloud-based solution tackling these issues of MRO (maintenance, repair and operations) inventory management. Leveraging AI for forecasting and usage predication, it combines statistical analyses, prescriptive analytics, automation and optimization algorithms. This tool empowers informed, real-time decisions to balance cost and risk and optimize your MRO inventories.
Improve procurement by identifying stockouts, excessive inventory and slow moving or potentially obsolete inventory.
Review historical data modules to drive actionable insights based on criticality, lead time and more.
Mitigate risk and minimize costs by continuously optimizing stock levels and reorder points with AI-powered algorithms.
Integrate with any enterprise asset management and ERP application to be cost-effective while driving business benefits.
Key capabilities
- Optimize
- Forecast
- Prioritize
- Act
- Simulate
- Connect
Balance inventory cost, risk and availability
Make smarter stocking decisions with AI-powered recommendations built for MRO inventory. IBM Maximo Inventory Optimization helps teams determine what to stock, where to stock it and how much to hold, while accounting for service expectations, lead times, item criticality and cost. The result is a more balanced inventory strategy that supports asset reliability without tying up unnecessary working capital.
Plan with more confidence in uncertain demand
MRO demand is often irregular and difficult to predict. Maximo Inventory Optimization applies algorithms designed for intermittent demand patterns, helping teams anticipate future usage and identify where stocking policies may need to change. With a clearer view of demand, organizations can reduce guesswork and make better decisions before shortages or overstock become business problems.
Focus attention where it creates the most value
Not every inventory decision carries the same operational or financial impact. Maximo Inventory Optimization helps teams prioritize items based on factors such as usage, cost, lead time, criticality and business impact. This helps inventory teams concentrate effort on the parts that matter most to uptime, service performance and cost reduction.
Turn insights into governed inventory actions
Move from analysis to execution with structured work queues, review processes and approval workflows. Maximo Inventory Optimization helps teams manage recommendations through a controlled process, so changes can be reviewed, approved and prepared for export with greater consistency. Smart review capability can also help reduce manual effort by guiding users toward recommendations that are ready for action.
Model decisions before they affect operations
Explore different inventory scenarios before making changes to live data. Maximo Inventory Optimization helps teams evaluate potential stocking strategies, cost assumptions and service-level trade-offs to understand the likely business impact. By testing options first, organizations can choose the approach that best balances risk, cost and operational performance.
Use asset and inventory data together
Bring together data from ERP, EAM and inventory systems to support more informed MRO decisions. Maximo Inventory Optimization is designed to analyze large volumes of operational data and help teams work across complex asset and parts environments. With integration and API capabilities, organizations can extend inventory insights into broader maintenance, procurement and reporting processes.
Industry applications
Reduce the cost of procuring and managing spares inventories for generation, transmission and distribution assets, while enabling higher levels of reliability.
Manage fluctuating demand cycles, increase reliability and drive timely line maintenance and production schedules with better stocking decisions.
Cut MRO inventory costs by reducing low-moving stocks and sharing critical spares across geographical regions to keep round-the-clock mining operations running.
Streamline supply chain inventory management and promote compliance with safety and environmental regulations in refining, exploration and production operations.
Better track asset related work orders, reduce operating costs and streamline maintenance operations with a tailored transportation MRO software.
Pricing options
Maximo Inventory Optimization Essentials
Fast time to value for clients new to Maximo Inventory Optimization.
Starting at
USD $3,094
per subscription, per month
- Inventory optimization capabilities, including:
ROP/MAX recommendations, Recommendations insights, Industry standard pre-configured filters, Prioritization of alerts and risk - Wizard based setup for near zero configuration and near zero installation
- One production environment
- Up to 50 million USD inventory size in value
- Onboarding training
Price shown is indicative, may vary by country, excluding any applicable taxes and duties.
Maximo Inventory Optimization Standard
Advanced capabilities with near real-time visibility, extended analysis options and reporting capabilities.
- Full inventory optimization capabilities, including: Automated continuous monitoring, Configurable Work queues, Automation workflows, AI Smart review, Service level analysis, Criticality analysis, Lead time analysis, Quick reports and analytics dashboards, Baseline analysis, Demand forecasting, What-if analysis
- One production environment and one pre-production environment (additional available)
- Acceleration services included
- Available CMMS/ERP integrations
Pricing depends on the number of production and pre-production environments, and inventory size (value) to be managed.