AI for Sales: Benefits, Challenges, and How You Can Use It

Generative AI tools can analyze information in CRM systems, along with data about the economy and competitors’ pricing, to predict future revenue more quickly and accurately than a team of humans. AI tools used in sales today can vary greatly, depending on the sales team’s needs and goals. Some kinds of AI tools include chatbots, predictive analytics tools, sales projection tools, and customer relationship management systems with AI capabilities.

Sales is a field that relies heavily on human interaction, but technology has always played a significant role in enhancing its efficiency and effectiveness. For example, tracking the busiest times in a call center can help you with future staffing. Dialpad’s dashboard gives you a great overview of how things are going. But not only that, Dialpad’s Ai Scorecards can also review sales calls automatically for whether sellers did everything listed on the scorecard criteria. Armed with this insight, a sales leader can easily keep an eye on tens (or even hundreds) of active calls and quickly see which ones have negative sentiment. If they do spot any, they can click to open up the real-time transcripts, scan it quickly to get more context, and decide whether or not they need to jump in to save the deal.

Artificial intelligence is basically an umbrella term that covers several technologies, including machine learning and natural language processing. Instead, it acts as an assistant and can perform or automate certain tedious tasks, speed up sales processes, and help professionals find sales opportunities more easily. Of all a company’s functions, marketing has perhaps the most to gain from artificial intelligence. Marketing’s core activities are understanding customer needs, matching them to products and services, and persuading people to buy—capabilities that AI can dramatically enhance.