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Simpler Scheduling with AI: Agent CRM Launches its ScheduleBot

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Alex Branning, CEO of customer service solutions provider Agent CRM, is on the same page as many of us when it comes down to scheduling needs.

“Scheduling meetings and appointments can be a frustrating and time-consuming process,” Branning said. “For individuals, as well as for businesses; particularly those with large client bases.”

So, what has Agent CRM devised solutions-wise to help with scheduling?

It’s simpler than you may think, yet still no less important:

ScheduleBot.

Everyone and their great-great-granduncle is invested in AI these days, it would seem. Agent CRM has hopped aboard this train now, too.

With the launch of Agent CRM’s ScheduleBot – a smart scheduling assistant powered by natural language processing (NLP) and machine learning (ML) algorithms, is ready to help businesses streamline appointment-scheduling needs via helpful automation (while simultaneously reducing scheduling-related stresses and increasing efficiency without needless conflicts with interactees).

Removing the needs for back-and-forth emails and phone calls, ScheduleBot is capable of:

  • Sending personalized messages on a custom basis to customers and clients; i.e. boosting engagement for scheduling purposes while also keeping them informed
  • Communicating with natural-sounding language choices in order to remain familiar and relatable
  • Google Calendar/Microsoft Outlook calendar integrations
  • Putting automated appointment reminders in place to reduce the chances of no-shows (either with email or SMS)

“This is why we developed ScheduleBot; to simplify and improve scheduling flows. We wanted to create and optimize a scheduling assistant that was accessible and as user-friendly as possible for businesses of all sizes and types,” Branning added. “ScheduleBot is that to a T, in addition to being a cost-effective and scalable solution.”

ScheduleBot is available for a free trial here for businesses interested in deploying it so they may concentrate more on their core operations.




Edited by Alex Passett
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