Integrating Artificial Intelligence in Sales

Integrating Artificial Intelligence in Sales

Naveen Joshi 11/09/2019 5

The integration of artificial intelligence (AI) in sales can help businesses score more leads, optimise new products and develop personalised marketing campaigns.

Sales departments often face multiple challenges such as finding leads, converting prospective leads, maintaining customer relationships, and gathering information about clients. Generally, sales representatives have to make multiple calls and send numerous emails to schedule appointments with clients. Even after scheduling meetings, a client may or may not be interested in doing business. Hence, the sales personnel’s job can be immensely complicated and time-consuming. AI applications can transform oil and gas, healthcare, manufacturing, retail, and many other industries by streamlining various tasks.

Likewise, the implementation of AI in sales departments can simplify and automate multiple crucial tasks such as recording data and scheduling meetings, which can improve workplace productivity. With this technology, sales representatives can prioritise core tasks like finding and converting leads and maintaining customer relationships. In core tasks such as lead conversion, AI systems can offer a data-driven approach for scoring and converting prospective leads. Also, AI-powered analytics can help business leaders evaluate their current business strategies and help in making informed decisions while developing new strategies.

The implementation of AI in sales can help businesses in the following ways:

No alt text provided for this image

Lead Generation

Sales personnel have to make key decisions regarding potential clients on a daily basis to meet their monthly and quarterly quota. However, lead generation or lead scoring can be a complicated task as it may be highly dependent on gut instinct and incomplete data. Hence, the entire process can be extremely tedious and error-prone.

AI systems can collect and analyse large volumes of historical client data such as social media posts and interaction history. With the help of this data, AI systems can offer predictive lead scoring and rank different leads in the sales pipeline based on the likelihood of getting a successful deal. With increasing volumes of data, AI systems can deliver more accurate predictions about each potential client. Hence, the integration of AI in sales helps sales personnel prioritise prospective leads and spend time only on leads that are more likely to be converted.

Sales Forecast

Sales managers need to their team’s sales numbers every quarter to evaluate their current sales strategy and performance. For this purpose, sales managers need to analyse large volumes of data which includes sales outcomes history and customer contact records. However, manual sales forecasting can be error-prone and time-consuming.

By leveraging AI in sales, managers can predict their sales numbers accurately. To deliver accurate outcomes, AI systems analyse large volumes of customer data and sales data. Based on this data, sales managers can predict their teams’ sales numbers and take the necessary steps to enhance sales. Also, AI systems can help sales personnel identify prospective customers and deals that have high chances of closing.

Cost Optimisation

Figuring out the rate of discount for a client can be extremely tricky as deciding an appealing estimate without losing profits is complicated. However, offering discounts is an effective way of closing a deal. For this purpose, businesses can utilise AI to decide the ideal rate of discount for different clients. For this purpose, AI algorithms analyse historical data that consists of every past deal to understand various details that led to a successful deal. AI algorithms analyse data such as the company size, number of competitors, geographical location, clients’ industry, annual revenues of clients, and experience with a client. Based on such data, AI systems can help businesses decide a rate of discount that has the highest probability of closing a deal without losing significantly in terms of revenue. In this manner, the implementation of AI in sales can help businesses optimise their costs effectively.

Cross-Selling and UpSelling

Cross-selling and upselling to the existing clientele are among the most economical methods of increasing revenue. However, finding clients who are interested in buying more products or services can be a tricky task. Instead of marketing products to customers who may not be interested, AI can help find customers that may want to purchase new products. AI algorithms can analyse data about every customer and identify the ones who are more likely to purchase a better version of a currently owned product or buy a new product altogether. Hence, businesses can increase their revenue and reduce their marketing costs by leveraging AI in sales.

Sales Resource Management

Sales managers have to evaluate their teams’ performance on a monthly basis to assess revenue pipelines and prospective clients. This process can be simplified by implementing AI in sales management. AI systems can monitor and analyze data of multiple sales personnel in real-time and present the data collected on a dashboard. With the help of this dashboard, sales managers can view which sales personnel are most likely to meet their quota and which outstanding deals have high chances of being closed. In this manner, AI-powered dashboards can help sales managers to focus on sales personnel and outstanding deals that can help their company meet their quotas.


Sales departments have multiple admin tasks that need to be performed on a daily basis. These tasks consume a major chunk of the employees’ time that can be spent on other core tasks. By integrating AI in sales departments, employees can effortlessly automate various admin tasks such as saving contact information, logging daily activities, recording attendance data, and identifying high-priority emails. In this manner, AI systems can help businesses enhance employee productivity by automating various tasks. AI can also help automate customer service tasks with the help of chatbots. AI-powered chatbots can resolve customer queries and guide them through various products. In this manner, artificial intelligence can help in improving sales and revenue.

Actionable Analytics

One of the most useful applications of AI can be drawing actionable insights from collected data. AI systems can be used to develop a platform that can monitor various success metrics and identify the areas that need improvement. AI-powered platforms can enable business leaders to evaluate different business procedures and marketing strategies. Based on success metrics and analytics, business leaders can develop effective strategies to enhance workplace efficiency and customer engagement. Hence, business leaders can make informed decisions while creating business strategies by integrating AI in sales.


According to statistics, customers prefer personalised business experiences such as personalised marketing campaigns and product design. AI-based solutions can be increasingly helpful in offering personalised experiences to customers. AI systems can analyse various customer demographics with the help of their personal information, location, purchase history, and social media posts to generate meaningful insights. Based on these insights, business leaders can develop personalised marketing campaigns for different customer demographics. Also, AI systems can evaluate public reviews about various products to identify desirable features, product performance, and customer pain points. Using such detailed data, businesses can design products that deliver better performance and address customers’ pain points to offer a great customer experience.

Business leaders of growing companies utilise AI extensively to gain a competitive advantage. Hence, following AI trends and understanding the benefits of the technology has become a necessity for business leaders. Early adopters of AI can gain a competitive advantage over other businesses. Also, AI coupled with big data can help business leaders predict market trends and create effective strategies for adapting to changes in the market. Hence, organisations can incorporate AI in sales departments to augment the growth of their business.

Share this article

Leave your comments

Post comment as a guest

terms and condition.
  • Bernard Keightley

    There’s nothing worse than chasing down a deal only to have it end in nothing

  • Leo Flanagan

    AI helps salesman to have any information at their fingertips

  • Brian Holdsworth

    Sales rep can only be as productive as the time spent selling.

  • Steve Johnson

    Knowing what discount to give a client is always a tricky situation.

  • Ryan Lambert

    The fastest way to grow a top-line revenue is to sell more to an existing client base. AI algorithms can compile historical data.

Share this article

Naveen Joshi

Tech Expert

Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.

Cookies user prefences
We use cookies to ensure you to get the best experience on our website. If you decline the use of cookies, this website may not function as expected.
Accept all
Decline all
Read more
Tools used to analyze the data to measure the effectiveness of a website and to understand how it works.
Google Analytics