Why Cloud Calling Needs a Touch of AI

Simple tasks like data entry and paperwork take so long that the sales team spends only a third of their time making sales. But times are changing. By sprinkling a bit of artificial intelligence (AI) and automation into the mix, some can be helped.

The future of sales lies in data-driven decision-making. The sales team has a long to-do list to do well, with a focus on maintaining a positive relationship with the customer. To help relieve some of the pressure, many are adopting AI-powered sales solutions. In fact, by 2025, this will be the preferred strategy for 75% of sales organizations globally.

Revenue intelligence

Revenue Intelligence is the latest AI-powered innovation that transforms the sales team’s experience. Using a combination of AI algorithms and automated workflows, revenue intelligence provides organizations with insights into every stage of the revenue lifecycle in their business. This information can be used to guide marketing, business, and financial decisions to ensure all departments are operating as efficiently as possible.

What started as conversational intelligence has evolved into a full-fledged AI sales toolkit. By combining natural language processing, AI, and automation, revenue intelligence platforms connect with every member of a sales team’s calendar and automatically search for meetings, calls, or demos. coming up with potential customers. When an agent initiates a call, an AI bot joins as a virtual participant and automatically saves the session.

It then translates speech into text through natural language processing and uses its AI model to analyze the calls and their content to establish what to advise team members to do. sales guarantee. Backing up every decision with aggregated data on every team member gives companies unprecedented insight into their sales strategy, allowing them to track leads, guide Individual’s best plan to act, and better predict revenue growth.

Benefits for all

Not only can the sales department benefit from revenue information, but it is by far the biggest beneficiary. Sales departments have long struggled with slow rollouts, inconsistent conversations among employees, and difficulty determining which strategies are working. By recording and analyzing every call, Revenue Intelligence captures every customer interaction and applies AI algorithms to determine the next best action to take. This ensures that conversations are consistent, regardless of which member they are talking to or their experience.

For new employees, deal coaching just got easier. The AI ​​algorithm provides real-time feedback on what went well during a call and provides prescriptive guidance on what to do next to win a trade. . For management, it also provides 100% visibility across a department. Managers can see who and what strategies are working well and can pay more attention to team members who may be having more difficulty.

Allowing all departments access to this data can also help shape marketing and product strategies. Recording of every customer interaction automatically allows businesses to gain unfiltered insight into customer sentiment. This real-time customer feedback can be used to make immediate changes in go-to-market strategy, project direction, and marketing goals.

From a financial perspective, Revenue Intelligence’s data-driven strategy allows companies to forecast with confidence. There is no risk that the data will be inaccurate as all information is automatically entered through the platform’s automation flows. This allows finance departments to forecast revenue with greater accuracy and identify more achievable goals based on data-driven decision-making.

Consistent cloud calling

To make the most of a revenue intelligence platform, it’s essential to integrate it into a cloud phone system like Ringover to give teams ultimate visibility over customer conversations. Calls are immediately scanned and highlighted so teams can focus on the main task at hand making sales.

Once a revenue intelligence platform is integrated with Ringover, when a call is started in the Ringover app, the AI algorithm and automation flows are triggered to collect all data required from the conversation. By the time the call has ended, team members can access the actionable insights in their revenue intelligence platform to determine the next step.

Calls remain an essential step in building and maintaining customer relations, adding in a touch of AI and automation can make reps’ day-to-day simpler and free up more time to focus on the tasks that matter building relationships and having successful conversations.