Spare Parts Criticality Evaluation & Optimization

De-risk Your Operations with AI for Spare Parts Criticality

Challenges of Outdated Parts Criticality

Nearly half (46%) of industrial and manufacturing enterprises fail to incorporate spare parts criticality into their materials planning process. Without consistent parts criticality management, you face the expense of overstocking and the risk of stockouts—preventing you from having the parts you need at the right place, time and price.

Inefficient Procurement
Processes

Item criticality data is often outdated, unreliable, and inaccurate, leading to challenges in making informed procurement decisions and resulting in an imbalance of excess inventory and stockouts.

Inexact Criticality Assignment

Item criticality is often derived from an asset's criticality, gut feelings, and a "set it and forget it" approach—leading to expensive and inefficient excess inventory.

Unplanned Downtime and
Profit Loss

Outdated item criticalities can cause stocking policies to become misaligned with market changes, leading to risk of unplanned downtime exacerbated by stockouts of critical spare parts.

An Always-On Approach to Spare Parts Criticality

Strategic stocking policies start with accurately reassessing parts criticality. Our AI-driven Spare Parts Criticality continuously evaluates both demand and supply-side factors, such as asset usage, work orders, Bills of Materials (BOMs), and market conditions. It’s always on, dynamically assessing how you assign criticality, identifying changes, and recommending adjustments in real-time. This ensures your stocking policies are aligned with operational realities, optimizing inventory and improving efficiency.

Our AI Platform

Ingests and understands material data

From your systems of record like work order and procurement history, supply constraints, etc.

Establishes and maintains criticality

For your every spare part, while understanding dynamic market changes and operational risks

Analyzes and prioritizes

The most critical spare parts, ensuring optimal stocking policies for continuous operations

What's In ItFor You

Real-time insights into parts criticality and operational risk to drive data-informed stocking strategies

Risk-Based Approach

Align procurement and operations teams by evolving from gut feelings to risk-based approaches, ensuring you will the right parts at the right time at the right place and price.

Bottom Line Impact

Unlock savings by reassessing updated parts criticality of materials, preventing unnecessary overstock and risk of stock outs.

Confidence in Data

Ensure inventory materials are assigned optimal, up-to-date criticalities with our always-on solution, reflecting their true priority to operations.

Transform Your MRO Supply Chain

Achieve data-driven procurement while holding operations accountable for balancing inventory needs, reducing redundancy, and minimizing waste.

Continuous, Automated, Always-On AI

Verusen’s AI platform uses advanced natural language processing (NLP) to tackle MRO inventory challenges. With over 20 million SKUs ingested, it enables immediate optimization without the need for data cleansing or third-party assistance, utilizing your existing data as-is.

Frequently AskedQuestions

Most Verusen customers are fully operational within 45 days from the time we receive the initial data transfer.

Typically, customer resources dedicate just 2-4 hours per week during the onboarding process. This is significantly less than what is required with traditional SaaS solutions, which often demand upwards of 30 hours from IT teams.

Verusen integrates seamlessly with a wide range of ERP, EAM, and P2P systems, using our comprehensive suite of certified, optional connectors to provide the insights and results you need.

Verusen doesn’t use seat licenses, so you get unlimited access for all relevant team members. Admins, chosen by you, can easily grant access to anyone in your organization who needs it.

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Verusen created our intelligent, self-learning materials management solution to transform our future supply network.
- Top 10 Energy Supply Chain Executive

The Verusen
Comparison