Employee scheduling software: Difference between revisions

Revision as of 09:57, 2 July 2019

Revision as of 11:22, 2 July 2019

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In the 2010s, the wide adoption of mobile devices and the rise of 3G, 4G, and 5G networks<ref>{{Cite web|url=https://www.emarketer.com/Article/eMarketer-Updates-Worldwide-Internet-Mobile-User-Figures/1015770|title=eMarketer Updates Worldwide Internet and Mobile User Figures - eMarketer|website=www.emarketer.com|language=en|access-date=2018-11-11}}</ref> worldwide has made it possible to approach the task of scheduling differently. In the last decade, many software solutions have sprung up to make the lives of business owners and managers easier and less burdensome.

The first wave of solutions helped small business owners to schedule, manage, and communicate with their employees in a more streamlined way. The newer way of solutions go a step further, leveraging machine learning and are being built on even newer cloud technologies such as [[platform as a service]] by [[Deputechnologies]].<ref>{{Cite webcn|urldate=https://www.businesswire.com/news/home/20180510005335/en/Deputy-Announces-AI-Driven-Auto-Scheduling-Optimize-Hourly-Worker|title=DeputyNovember Announces AI-Driven Auto-Scheduling To Optimize Hourly Worker Shifts in a Single Click|date=2018-05-10|website=www.businesswire.com|language=en|access-date=2019-07-02}}</ref> The need for automation and intelligent rostering in workforce management will continue to grow as society's heads into a gig economy<ref>{{Cite web|url=https://www.naco.org/featured-resources/future-work-rise-gig-economy|title=The Future of Work: The Rise of the Gig Economy|website=NACo|language=en|access-date=2018-11-11}}</ref>.

== Complexity ==