More and more of our clients are working smarter by sharing staff across multiple business sites. To avoid the chances of double rostering an employee across two different sites, RosterElf is pleased to announce the launch of our "Muti-site detection" feature.



Our new algorithm will now mark any employee rostered at one site during a specific time in red (unavailable) when trying to fill the same role on another site, so you cannot accidentally double roster them.



The same warning will also appear if you use RosterElf's functionality to copy a previous roster or upload a roster template. The intelligent little algorithm will warn of any roster conflicts automatically. You can review the issues and swap these shifts out with other staff.



The team at RosterElf hope you enjoy the convenience of this new feature which will save you time and reduce the chances of publishing a roster with any conflicts.



Feel free to drop us a line if you would like any more information or would like a demonstration of this new tool.



Cheers

Team RosterElf


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Have Questions?

We Have The Answers

What is the Multi-Site Detection feature in RosterElf?

The Multi-Site Detection feature is a new algorithm in RosterElf that prevents double rostering employees across multiple business sites. It marks an employee rostered at one site during a specific time in red (unavailable) if you try to assign them to another site simultaneously, ensuring no scheduling conflicts.

How does the Multi-Site Detection feature help avoid double rostering?

When scheduling an employee already rostered at one site, the Multi-Site Detection feature highlights them in red if you attempt to roster them at another site during the same time slot. This visual warning helps managers immediately identify and resolve potential conflicts.

Does the Multi-Site Detection feature work with copied rosters or templates?

Yes, the Multi-Site Detection feature works with RosterElf's functionality for copying previous rosters or uploading roster templates. The algorithm automatically checks for any conflicts and highlights them, allowing you to make necessary adjustments before finalising the schedule.

How can I benefit from using the Multi-Site Detection feature?

Using the Multi-Site Detection feature saves time by automating the conflict-checking process and reducing the risk of double rostering. This leads to smoother operations across multiple sites, improves staff management efficiency, and ensures employees are not double-booked, enhancing overall productivity.

Can I get a demonstration of the Multi-Site Detection feature?

Yes, the team at RosterElf is happy to provide a demonstration of the Multi-Site Detection feature. You can contact RosterElf directly to schedule a demo and get more information on how this tool can benefit your business.

What should I do if I encounter a roster conflict highlighted by the Multi-Site Detection feature?

If the Multi-Site Detection feature highlights a roster conflict, you can review the issues and swap the conflicting shifts with other staff members. This ensures that no employees are double rostered and that all shifts are adequately covered. The feature provides a straightforward way to resolve scheduling conflicts before finalising the roster.

Important Notice

The information contained in this article is general in nature and you should consider whether the information is appropriate to your needs. Legal and other matters referred to in this article are of a general nature only and are based on RosterElf's interpretation of laws existing at the time and should not be relied on in place of professional advice.

RosterElf is not responsible for the content of any site owned by a third party that may be linked to this article and no warranty is made by us concerning the suitability, accuracy or timeliness of the content of any site that may be linked to this article.

RosterElf disclaims all liability (except for any liability which by law cannot be excluded) for any error, inaccuracy, or omission from the information contained in this article and any loss or damage suffered by any person directly or indirectly through relying on this information.