Managing your parts inventory is critical to keep assets online and running smoothly. But as we shift to a digital world, it’s getting harder to keep your physical and digital inventory in sync, especially for critical parts.
Mismatched inventory can cause major disruptions to operations due to longer downtime periods and rush-order parts costs.
Cycle Counts can help your parts management strategy—designed with mobile-first to keep your physical and digital inventory stay in sync.
Routine scheduling for keeping inventory aligned
With Cycle Counts, you can easily schedule a count of a part by factors like part type and location. The count itself is done on mobile and syncs in real-time to web, allowing you to monitor progress, identify discrepancies, and get a head start on next actions to take. Once the count is completed, the system automatically updates inventory records with a comprehensive audit trail.
Mobile-first experience
As mentioned, once a cycle count is assigned, your users are assigned the work order and perform the count on their mobile device or desktop; no paper or back-and-forth from facility floor to office required. To streamline the process, they can:
- Scan a parts QR code to pull it up in MaintainX
- Enter the counted value from their mobile device
- Pause and resume in-progress counts - interruptions happen!
Keep
inventory in sync with Cycle Counts
Now that you have accurate parts data, you'll be ready to create repeating Work Orders. Our new scheduling options let you plan PMs around the regular, or irregular, cadence needed for production off-hours, seasonality, or asset requirements. Scheduling work more closely to the optimal times for your operations will help minimize downtime so you can meet goals for your site, and business.
Ready to put a cycle counting strategy to use? Contact us to learn more!
Andrew Benjamin
Andrew Benjamin is a Senior Product Marketing Manager at MaintainX with nearly a decade of experience marketing SaaS products. Of late, he’s guided organizations through digital transformation initiatives, and enabled them to harness actionable insights from their data using AI & ML models.