Although AI has been a part of daily life for quite some time—powering movie recommendations on Netflix and shopping suggestions on Amazon—it’s primarily been proprietary technology working behind the scenes.
But with the launch of ChatGPT, AI suddenly became the star of the show itself. Incredibly accessible to both companies and everyday people, ChatGPT transformed AI into a product that could be leveraged to improve both business and personal lives.
And with the recent announcement of RingCentral’s “RingSense for Sales,” the power of AI as an openly accessible tool has officially come to business communications. For any organization that relies on making sales for revenue, especially on customer calls, RingSense for Sales truly is big news.
Is This Just a “Me Too!” Product Release?
AI has been the business buzzword for 2023, so you might suspect that RingSense for Sales could be a bandwagon effort.
But RingCentral purchased a leading AI company called Deep Effects in 2020 and has rolled AI features into a number of its technologies since. Seeing as Deep Effects was focused on applying AI to business conversations, it’s apparent that RingSense for Sales (and RingCentral’s burgeoning AI portfolio in general) has been carefully planned long before AI became a part of today’s business zeitgeist.
Considering its powerful features, RingSense for Sales is ahead of its time.
What Is RingSense for Sales?
In short, RingSense for Sales is an AI platform that analyzes limitless numbers of conversations and turns the unstructured verbal data into highly filtered information that an organization can use to improve their sales conversions.
In many ways, RingSense for Sales is like having an army of data analysts working on demand to monitor your sales calls and tell your team how to make them more effective and profitable.
What AI Technology Is RingSense for SalesBuilt on?
RingSense for Sales is a generative, Private Large Language Model (LLM) AI platform. Generative AI is a broad technology that uses algorithms to learn patterns from existing data to create new, unique data. In essence, generative AI “learns” about something and then uses its “imagination” to create something new.
Private Large Language Models (LLMs) are robust AI systems using generative principles to understand language and generate unique text. Similarly, the world-famous ChatGPT-3 is a Large Language Model, but note that it is not private.
A Private LLM has the same (astounding) capabilities but is designed to safeguard user data privacy, security, and confidentiality.
Think of it like ChatGPT, but with encryption, data anonymization, and many other advanced security technologies to prevent unauthorized access or leakage of sensitive information.
What Can RingSense Do for My Organization?
In the broadest sense, RingSense makes “sense” of interactions between people, most notably on calls, but also on video meetings or other forums where interactions occur on RingCentral platforms. RingSense takes the existing RingCentral capabilities to automatically take meeting notes and provide summaries to a whole new level. It can now monitor customer conversations to uncover all the valuable insights from each conversation and process them into actionable intel.
This is called conversation intelligence, where business conversations are analyzed to improve operations and increase revenue. RingSense can drill down to the following and more:
- Competitor mentions
- Objection handling
- Budget discussions
- Decision-making authority
- Deal progression and selling methodologies
Because RingSense goes so far beyond standard call recording and note-taking solutions, it brings conversation intelligence to revenue intelligence. Revenue Intelligence is the process of gleaning critical business intel from sales data, in this case, customer conversations.
What Are the Key RingSense for Sales Features?
While you can check out RingCentral’s webpage for more information, the key features they list on their blog are:
Automated follow-ups to drive productivity: AI-driven interaction summaries, notes, and follow-ups are automatically loaded into a CRM or productivity suite, increasing disposition and facilitating better management of customer interactions.
AI-generated summary scoring: Interaction-level scoring and reporting help managers prioritize conversations needing attention without manually sifting through conversations.
Integrations with 3rd party apps: Integrates with leading CRMs (including Salesforce, Hubspot, and Zoho), calendar applications (Google Calendar and Microsoft Outlook), and call and video meeting providers.
Ability to track keywords and phrases (trackers): Enable teams to track keywords and phrases, such as competitor names or product features, and adjust or fine-tune the trackers. Also, AI can focus on the concepts relevant to the organization, not just the words.
Get Expert Help Harnessing the Power of AI
It’s easy to learn about a solution like RingSense for Sales and see the potential for your own organization. But what if you aren’t a RingCentral customer? What if you aren’t on the cloud yet? The reality is that your business may have unique needs and prerequisites for implementation. That’s why it pays to have an expert on your side.
As a Premier RingCentral Partner, we’re in a position to help you navigate and seamlessly integrate the best RingCentral solutions for your unique needs. But perhaps more importantly, as a leading cloud solutions provider, we can holistically address both your communications and operational needs simultaneously.