EAM software ROI calculator

The DuPont benchmarking study (3,500 sites across North America, Europe, and Japan) and U.S. Department of Energy research show that average wrench time across industries is 25-35% of a technician's shift. The rest is spent on non-productive work: hunting for parts, chasing information, manual reporting, traveling for instructions.

With effective planning, scheduling, and mobile tools, organizations reach 55% wrench time. This is documented by Becht Engineering (across multiple global sites), A.T. Kearney research, and Doc Palmer's Maintenance Planning and Scheduling Handbook.

We model a move from 30% to 55%, yielding 520 additional productive hours per technician per year. The calculator multiplies this by your technician count and hourly cost.

The U.S. Department of Energy Research documents 12-18% cost savings from preventive maintenance compared to reactive maintenance. McKinsey research documents 18-25% additional savings from predictive approaches, and up to 40% total savings compared to reactive maintenance. Deloitte research confirms that poor maintenance strategies can reduce a plant's overall productive capacity by 5-20%.

We apply a conservative 25% reduction to your unplanned downtime costs, which sits in the middle of the documented range. The calculator multiplies your monthly downtime hours by 12 months, your cost per hour, and the 25% reduction factor.

The potential gains in this calculator only materialize when technicians actually use the software. Gartner reports that over 70% of ERP initiatives fail to fully meet their business goals, with low end-user adoption cited as a primary reason. McKinsey research found that organizations with effective adoption programs realize 143% of expected ROI, while those without fall far short.

We've keep this illustrative calculation simple by applying the adoption rate as a linear multiplier on total potential. At 35% adoption, you realize 35% of the potential gains. At 85% (the average across Arkyn deployments), you realize 85%. The gap between those two numbers is the value left on the table.

The industry defaults for technician count, hourly cost, downtime hours, and downtime cost per hour are illustrative starting points. They represent a mid-range prospect in each industry, not a sourced average.

Downtime cost per hour defaults are informed by the Siemens True Cost of Downtime 2024 report (which found a cross-industry median of $125,000/hour) and the ABB Value of Reliability 2023 survey (3,215 plant maintenance decision-makers globally, confirming the same median figure).

Adjust all defaults to match your operation for the most accurate estimate.

This calculator models two value drivers: technician productivity (wrench time) and unplanned downtime reduction. Several additional value drivers are real but harder to generalize without your specific operational data:

- First-time fix rate improvements (Arkyn averages 30% improvement)
- Spare parts cost reduction from better diagnostics and planning
- Safety incident reduction from better field information
- SAP license consolidation through subcontractor management

If you want to model these for your situation, talk to us.

The 85% is the average across Arkyn deployments. An example is Energy Transfer (8,000+ technicians) where adoption required close to zero training.

Consumer-grade native apps (such as FastWork, FastForms, FastNotifications), pre-built SAP process coverage through FastCloud, and a go-live model (FastStart) that gets teams live in 2-6 weeks. You can see all of our FastApp solutions here.

Yes. This calculator models two value drivers. Arkyn can model additional drivers (first-time fix rate, spare parts, safety, SAP license consolidation) with your specific operational data. Get in touch with us to explore how Arkyn can benefit your organization.