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Talkdesk Delves into AI, Sales StyleTalkdesk Delves into AI, Sales Style

Launches AI-powered product aimed at helping drive better sales conversions.

Michelle Burbick

October 31, 2017

2 Min Read
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Cloud contact center company Talkdesk today announced its first official foray into artificial intelligence, launching Talkdesk for Sales, a product aimed at helping inside sales teams have more productive conversations with prospects and drive higher conversions.

 

The new offering is meant to help sales team members make a higher volume of calls, gain access to more information and context to help them in prospect engagements, and use AI to gather feedback to land deals, Talkdesk COO Gadi Shamia told me in a briefing.

Currently in beta with several Talkdesk customers, the new solution will be available for demonstration next week at Salesforce's Dreamforce conference. Talkdesk for Sales comprises eight key items:

  • Power dialing -- establishes a call queue and automatically dials the next number when a call doesn't go through or when a sales rep closes a previous call. Talkdesk estimates that the power dialing capability increases connect rates for outbound prospecting by 30% and talk time by 300% per hour while reducing time spent on manual dialing

  • Voicemail drop -- allows sales reps to select from a list of pre-recorded voicemail messages to leave in prospects' inboxes, rather than taking time away from productive work by having to leave unique messages. In addition, the prepared messages helps avoid issues related to unclear messages, including those in which return phone numbers are garbled

  • Local presence -- lets sales reps use local numbers to increase the likelihood of prospects answering cold calls

  • Callbar -- enables simplified calling through Talkdesk's familiar click-to-call application, which also provides access to CRM and other business tools

  • Salesforce integration -- ties together omnichannel, desktop telephony, native reporting, and automations

  • SalesAssist -- leverages AI and voice analytics to pinpoint relevant conversations that can help reps better answer questions in real time. SalesAssist now includes the ability to transcribe calls and call out important moments, such as the mention of a competitor, for example, Shamia said. While this capability is available today, a real-time version will become available in early 2018

  • Call recording -- allows for monitoring, coaching, and training of sales reps so organizations can ensure consistency

  • Voice analytics -- for monitoring, coaching, and training, AI identifies factors leading to successful sales calls, enabling enterprises to extract and scale out lessons learned to the rest of the sales team to improve interactions across the board

"We are working on AI technology both on our own and with our partners," Shamia said. Using AI with sales, provides opportunity to show a clear return on investment, which can be challenging to prove in customer support scenarios, he added. "We're using sales first to help train our algorithms, but we'll be extending AI to other products down the road."

 

About the Author

Michelle Burbick

Michelle Burbick is the Special Content Editor and a blogger for No Jitter, Informa Tech's online community for news and analysis of the enterprise convergence/unified communications industry, and the editorial arm of the Enterprise Connect event, for which she serves as the Program Coordinator. In this dual role, Michelle is responsible for curating content and managing the No Jitter website, and managing its variety of sponsored programs from whitepapers to research reports. On the Enterprise Connect side, she plans the conference program content and runs special content programs for the event.

Michelle also moderates Enterprise Connect sessions and virtual webinars which cover a broad range of technology topics. In her tenure on the No Jitter and Enterprise Connect teams, she has managed the webinar program, coordinated and ran the Best of Enterprise Connect awards program, and taken on special projects related to advancing women in the technology industry and promoting diversity and inclusion. 

Prior to coming to No Jitter, Michelle worked as a writer and editor, producing content for technology companies for several years. In an agency environment, she worked with companies in the unified communications, data storage and IT security industries, and has developed content for some of the most prominent companies in the technology sector.

Michelle has also worked in the events and tradeshows industry, primarily as a journalist for the Trade Show Exhibitors Association. She earned her Bachelor's degree from the University of Illinois at Chicago. She is an animal lover and likes to spend her free time bird watching, hiking, and cycling.