Automated Equipment Maintenance Scheduling

A global food production company with facilities across multiple regions was spending more than two weeks building equipment and asset maintenance schedules manually and requiring 2 to 3 employees.

It wasn’t just inefficient. It was risky.

With downtime costing thousands per hour and safety on the line, the company needed a more reliable, scalable approach.

By deploying DataPeak’s no-code AI maintenance scheduler, the company:

• Reduced equipment downtime by 30%

• Extended machinery lifespan by 20%

• Boosted maintenance planning efficiency by 25%

• Cut overall maintenance costs by 10%

Read the full story of how they did it and see what DataPeak could do for your team.

What used to take two weeks of manual effort with 2-3 employees, now happens in just a few clicks, giving teams more time to focus on production, not paperwork.

Disclaimer: Results described in this case study are specific to the featured client’s experience. Actual outcomes may vary based on your business context and implementation.