Ten ways AI is transforming sales

In the world of commerce, AI has grown to become a useful and vital tool. One area of business where AI is having the most immediate effect is sales. Traditionally a skillset that relies on human interaction and persuasion, it is being gradually transformed by

technology. According to the 2018 “State of Sales Report” by Salesforce, UK sales leaders anticipate AI adoption in their industry to grow by 155% by 2020.

But how exactly is AI transforming sales? James Isilay, CEO, Cognism, identifies ten key areas where technology will revolutionise the sales process.

1. Improving data quality

A sales team is only as good as the data it works with. However, HubSpot identified that B2B data decays at a rate of 22.5% annually, so sales teams must ensure the data they hold is always kept up-to-date and fit for business purpose, by cleaning and enriching stale data, filling in missing information and updating out-of-date records. Through the use of the latest AI technology, sales teams can work securely in the knowledge that the data they work with is of the best possible quality.

2. Intelligent chatbots

We will soon see AI’s natural language processing capability unlock the power of human speech, allowing chatbots to develop more advanced, human characteristics and interact with customers using natural, conversational language. This will have several practical applications for a sales team. For example, a chatbot could perform basic tasks, such as booking appointments or demos. They can also be used to reduce admin time by directly updating CRM records through a simple notepad style interface, enabling sales teams to update data in real time whilst on the move.

3. Predictive customer experiences

In 2019, AI will increasingly be used by businesses to analyse customer data, identify long-term trends and determine patterns of customer behaviour, with a view to anticipating what they will do next. This will enable businesses to create predictive experiences for their customers. Sales teams can use them to pitch to prospects at the times that they’re most likely to buy – if the prospect has recently switched jobs, for instance, or if the company they work for has relocated. If deployed correctly, AI can have a big impact on a sales team’s lead generation and revenue growth.

4. Freeing up time

The cumulative effect of applying AI solutions to businesses is in freeing up time for human workers.

12 A good example of this effect is the traditional sales rep;

a recent study of how sales reps spend their working day revealed that nearly 22% of their time is engaged in researching and prospecting for leads, which if managed by AI, creates a sizable chunk of time that the sales rep can then use to interact with clients and close more deals. Essentially, AI takes up the slack, allowing salespeople to get on with doing what they do best – selling!

5. Price optimisation

One challenge that every salesperson will encounter at some point in their career is knowing what discount, if any, to give to a client. In the past, such decisions were often made by the salesperson following standard practice, or incomplete information, or simply their gut instinct. Today, the challenge of price optimisation can be solved by AI, augmenting the function of a sales team by providing it with accurate analytics that aids the process of closing deals and growing revenue.

6. Sales forecasting

Before the growth of AI, sales forecasting was initiated by teams of business analysts, and despite the analysts’ best efforts, the results were often incorrect and incomplete, subject to the vagaries of human error. One of the benefits of AI for any business lies in its ability to analyse vast quantities of data, at a much faster rate than any human can. AI algorithms are now able to predict, with a startling degree of accuracy, next quarter’s revenue. This information empowers sales managers to make better decisions, such as knowing exactly where in the business to allocate more manpower and resources.

7. Lead scoring

A salesperson working with a pipeline of qualified prospects has to make decisions on a daily (sometimes hourly) basis on where to focus their time and energy. For salespeople who rise or fall on closing deals and hitting their quota, time management is a critical part of their daily routine. AI can

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