A Startup Aims to Disrupt Recruiting of Shift Workers

A Startup Aims to Disrupt Recruiting of Shift Workers

New online platforms and other technologies that leverage the power of big data, AI, and machine learning are changing the way many organizations, and even whole industries, recruit. And with more and more people working in the “gig economy,” there is a specific need for technological solutions that enable flexible hiring. At Personnel Today, Cath Everett profiles one startup aiming to shake up how shift workers are recruited for one-off events by dispensing with the middlemen of staffing agencies:

[I]n a bid to “smooth a pathway to the way employment will work in future” – for those at the lower end at least – Jim Green, founder and chief executive of start-up Scaled Networks is currently beta testing an AI-based recruitment platform called “Scaled” with two event management companies. He is also negotiating deals with “four of the top 15 most recognised hotels in the world”.

Scaled is based on a database of people who sign up as being available for work via a mobile phone app. They then fill in a profile, which is supplemented by automated feeds from third-party organisations providing information such as qualifications and criminal records. Employers post what shifts they have available onto the platform and workers can search for them using keywords. Suitable candidates are also sent targeted notifications if their skills, experience, location and past performance match employers’ requirements, and they then opt for the shifts they are able to do.

Employers select the most appropriate candidates by reviewing their profiles, watching short videos about them or undertaking interviews using Scaled’s private video calling functionality. When the shift is complete, employers simply approve individual time sheets and use a patented rating system to indicate if they’d be happy to use a given worker again or not and whether they should be treated as priority hires in future. “So the cream really does rise to the top”, says Green.