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Automating and Optimizing Labor Scheduling Problems with K2
A labor scheduling problem implies optimal planning of employee shifts to minimize operating expenses associated with the workforce. It’s a hot topic for most industries and especially during the COVID and post-COVID times.
In the webinar, we’ll share our proven approach to addressing labor scheduling problems based on TEAM’s real case with a healthcare customer. Besides optimizing costs and satisfying demands, TEAM has given it an extra twist by considering employees’ well-being as part of the equation. Such an approach to the scheduling problem helps create adequate working conditions and incorporate constraints, ensuring positive employee experience, optimal assignment of shifts, regular times-off, and more. Different scenarios will be defined and executed by varying parameters such as the number of employees available, shift hours, locations or rooms available, and others.
During this webinar, you will learn:
- How Nintex low-code components can help you easily create forms to parameterize process or visualize information with minimal development effort or investment.
- How you can benefit from external components and libraries to complement Nintex native capabilities.
Julio Aconcha Martinez - CTO of RPA Business, TEAM International.
Contact us now to discuss how TEAM can help empower innovation across your organization