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Zendesk Invests in Tymeshift to Improve WFM Solutions

#artificialintelligence

Leading Customer Support Ticket System and Sales CRM platform Zendesk has invested in Tymeshift. Tymeshift is an Omnichannel Workforce Management (WFM) tool that is made exclusively for Zendesk. Tymeshift will use the new funding to push for growth in new markets. At the time of this investment, David Birchmier, CEO- Tymeshift, shared his vision for the company's future. David said, "We're proud of the organic growth we've achieved and are excited to leverage Zendesk's investment to accelerate our product innovation pace and continue to grow our teams in Fairfield, Iowa, Lisbon, Portugal, and Novi Sad, Serbia. In short, we're focused on making our WFM solution even more comprehensive."


Zendesk Invests in Tymeshift to Improve WFM Solutions

#artificialintelligence

Leading Customer Support Ticket System and Sales CRM platform Zendesk has invested in Tymeshift. Tymeshift is an Omnichannel Workforce Management (WFM) tool that is made exclusively for Zendesk. Tymeshift will use the new funding to push for growth in new markets. At the time of this investment, David Birchmier, CEO- Tymeshift, shared his vision for the company's future. David said, "We're proud of the organic growth we've achieved and are excited to leverage Zendesk's investment to accelerate our product innovation pace and continue to grow our teams in Fairfield, Iowa, Lisbon, Portugal, and Novi Sad, Serbia. In short, we're focused on making our WFM solution even more comprehensive."


Contact Centers in 2030: A Look in the Future: Adaptive and AI-Enabled Workforce Management

#artificialintelligence

DMG Consulting LLC (DMG) has made a series of predictions about various IT segments related to the contact center market. This blog post addresses the future of workforce management (WFM) solutions. Prediction: AI-enabled adaptive real-time forecasting and scheduling will replace traditional workforce management solutions. Intent: New algorithms are being introduced into WFM solutions to improve the accuracy of forecasting and scheduling recommendations. The more advanced WFM solutions are using a combination of mathematical modeling and simulation to optimize scheduling recommendations.