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This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category. This cookie is a part of the services provided by Cloudflare - Including load-balancing, deliverance of website content and serving DNS connection for website operators. This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. Workers love it and your shifts get covered according to your rules and specifications: It’s a win-win! Find out more about Gig-Style Scheduling! Read how Schnucks collaborated with Logile and successfully introduced this type of flexible scheduling to its stores. Crowdsource workers are not current company employees but are vetted and preapproved by you to bid on shifts for specific roles, departments and stores if managers open shifts to crowdsource status. With Logile’s solution, gig workers are employees of your company approved by you to bid on shifts outside the associates’ primary store and departments. Leverage this ground-breaking mobile solution as a new strategic tool to supplement your labor pool to effectively cover staffing needs across your organization. Logile Gig-Style Scheduling uniquely adapts the successful ride-share gig and crowdsource model to work in the retail operational environment, helping retailers effectively manage staffing shortages while attracting and retaining workers. Gain a creative new solution to address labor challenges with Gig-Style Scheduling
