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Legion Announces New AI-based Workforce Management Webinar Series

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Webinar Series Kicks Off on November 17, 2020 at 11:00 a.m. PST

REDWOOD CITY, Calif. (PRWEB) November 16, 2020

Legion Technologies, the provider of cloud-native, AI-powered workforce management solutions, today announced it will host a new webinar series, featuring Legion executives, industry thought leaders, analysts, and customers. Legion's new, free webinar series will enable organizations that have an hourly workforce to stay up-to-date on the latest workforce management innovations.

Bringing People and Business Together with AI-Based Scheduling

Tuesday, November 17th @ 11:00 a.m. PST

Are you or your team bogged down with manual scheduling processes? AI-based scheduling can reduce the time you spend on creating and managing schedules by 50%, eliminating the need to post schedules and email employees. What does that mean for you? More time to strategize, sell, and train. Less time booking outside of worker availability, managing compliance, and employee preferences. In this webinar, Traci Rubin, Director of Human Resources at SMCP USA, and Sanish Mondkar, CEO of Legion Technologies, will discuss how intelligent scheduling can help maximize productivity and efficiency; give employees more ownership and control over their work lives; and help retailers operate confidently at scale. Click here to learn more: https://bit.ly/3kzJ8O2

Upgrade to AI-Powered WFM and Leave Your Legacy Software Behind

Thursday, November 19th @ 12:00 p.m. PST

Is your legacy workforce management system hard to use? Does it predict scheduling needs accurately or effectively? In this webcast, learn more about Legion Technologies' AI-powered, cloud-native workforce management platform that enables 50% lower TCO, 98% accurate data forecasts, and 95% employee engagement. Click here to learn more: https://bit.ly/3f3lYy9

Retailers' New Super Power: How AI-Based Scheduling is Powering Worker Engagement in the New Normal

Wednesday, December 9th @ 9:00 a.m. PST

Throughout the 2020 holiday season and beyond, retailers will be dealing with a host of store worker-related challenges exacerbated by COVID-19 restrictions and the heightened pressure to post profitable outcomes. At the heart of the challenge is often worker scheduling — addressing the historic complaints of inequitable schedules, poor workplace experiences and, for management, compliance issues and poor visibility into what's happening at store level. AI-based worker scheduling is giving retail operators new opportunities to disrupt the status quo — in a good way. In this webinar, join Traci Rubin, Director of Human Resources at SMCP USA; Shelley E. Kohan, Associate Professor, Fashion Institute of Technology; and Sanish Mondkar, CEO of Legion Technologies, to learn how leading organizations are using intelligent scheduling to increase efficiency and productivity and improve experiences for part-time workers. Click here to learn more: https://bit.ly/3f4b0bZ

About Legion Technologies

Legion Technologies powers the future of work by redefining how companies manage and empower their hourly workforces. Legion's modern, AI-powered Workforce Management platform enables companies to tightly manage labor spend while ensuring great experiences for their employees. Customers across industries, including retail, hospitality, healthcare and manufacturing, use the Legion platform to reduce costs, compliance risks and labor inefficiencies, and boost employee engagement. The company has been recognized as a Gartner Cool Vendor and was recently included on JMP Securities' Hot 100 List of the Best Privately Held Software Companies. Legion is headquartered in Redwood City, Calif. and is backed by investors, including Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures and NTT DOCOMO Ventures. To learn more, visit https://legion.co/.

For the original version on PRWeb visit: https://www.prweb.com/releases/legion_announces_new_ai_based_workforce_management_webinar_series/prweb17547533.htm

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