Uses of Artificial Intelligence in Sales

According to International Business Machines (IBM), there are several definitions for artificial intelligence (AI). However, it generally is characterized by the combination of computer science and sturdy datasets that allow problem-solving. Therefore, AI leverages machines and computers to imitate the decision-making and problem-solving capabilities of the human brain.

Several real-world applications of AI systems exist, such as customer service and automatic speech recognition, which processes human speech into a written format. Many industries, including sales, use AI to streamline processes and provide better products or services. In sales, AI helps predict which clients are most likely to buy, optimizes deals and product prices according to the market, and helps companies keep track of sales performance.

Sales representatives may delegate some tasks to an AI tool to help them use their time better and close more deals. AI can assist the sales team in arranging important emails and setting the workflow by using a template. Additionally, AI can serve as an assistant to automate repetitive tasks, such as scheduling meetings, inputting data, and performing complicated activities that require no personal relationships, such as sales forecasting. AI can create accurate forecasts based on previous sales outcomes and customer contacts.

One of the big challenges in the daily life of a sales representative is deciding what to do next concerning a contact. AI can create more accurate customer profiles that help representatives choose between scheduling a meeting, sending a reminder email, connecting with a team member, or something else. AI can collect data on the most productive courses of action for different markets.

Other automated AI actions include setting reminders to contact clients, organizing leads, and determining the priority of leads based on the chances of conversion. For the last action, the AI can use third-party data about the client and advise the sales representative on the lead to call next.

For sales company websites, AI-based chatbots can conduct preliminary conversations with prospects. In addition to getting prospective clients’ attention, these tools can often greet top leads by name, recognize difficult questions, answer them when possible, and execute other account-based marketing tactics, redirecting qualified leads to the sales team.

Companies in every industry typically use emails to create sales campaigns, make cold outreach, and follow up with customers. AI can help in numerous ways by integrating relevant data between the email platform and the customer relationship management (CRM) system to increase open and reply rates. In addition to using existing CRM information, AI can scan large data sets, such as clients’ or prospects' previous emails or social media profiles. Using machine learning software to find leads can be helpful and time-saving for sales teams since AI can rapidly analyze large quantities of data, making connections that humans may not have considered.

In the future, AI likely will replace sales jobs that require basic problem-solving skills, simple written or verbal communication, or basic functional knowledge of the product. However, AI still struggles to solve complex problems and have strategic conversations based on human relations.