Machine Learning is one of the great technological revolutions of recent years.
In the world of modern sales, it is a tool that can be our best ally to improve the customer experience and sell more effectively. Do you want to know how?
What is Machine Learning?
In a nutshell, Machine Learning is a field within artificial intelligence (AI) that allows machines to learn by themselves.
Machine learning consists of the design, analysis and development of algorithms and techniques that the system performs to carry out its progressive evolution. It does this mainly through programs that are capable of generalizing behaviors through classification and pattern recognition.
Machine Learning has the ability to find patterns among a large amount of data and convert them into useful information for the system. Thus, for example, search engines recommend what we may already be interested in.
How can artificial intelligence help us sell?
Here are five ways machine learning can improve your sales team:
1. Detection of opportunities and potential clients
Thanks to its rapid ability to recognize patterns even among large amounts of information, machine learning is an ideal tool for providing accurate business insights. This allows teams to spot the best sales opportunities as early as possible.
Through algorithms, AI accompanies marketing and sales teams to detect which potential customers could be more valuable to the company. In parallel, you can collect and classify relevant information about your profile (for example, based on the marketing content you have reviewed) to convert these potential customers into actual customers.
2. Offer a personalized customer experience
If there is one thing where machine learning can be useful for business processes, it is the ability to automatically design a personalized customer experience.
An AI that applies Machine Learning can learn from the practices of the ebay commercials and then offer content and proposals to the user automatically and based on their profile.
If, for example, a seller uses a tablet to show certain content to the customer, the system can learn from it to eventually show the customer a personalized sample based on their interests.
3. Improve sales team productivity
Thanks to AI and Machine Learning, a higher performance of the sales team can be achieved. A machine learning system can collect sales information for predictive customer analytics.
By detecting which actions have the best chance of closing a sale, it helps managers and salespeople make profitable sales without spending time on actions with less chance of success.
In addition, machine learning allows salespeople to save time on manual, forecasting, and reporting tasks. So sales teams can spend more time dealing directly with the customer and ensure good service.
4. Clear and unified communication and sales objectives
Finally, it should be noted that Machine Learning makes it possible to ensure that the company’s communication and sales objectives are clear to all members.
The objectives are permanently suggested by the system and are constantly updated, since the system learns automatically from the “best practices” of the commercials in the sales processes.
Thus, Machine Learning can help us to have a unified sales strategy and better align the Insights (that is, purchase desires and needs) that we want to convey to customers and potential customers.
5. Smooth incorporation of new commercials
The machine learning system can also significantly reduce the onboarding process for new salespeople, that is, the time and resources required for training and orientation that allow optimal incorporation into the company.
It promotes greater speed when learning and understanding the operation of the company and its objectives. While a new salesperson may need months to properly understand and sell a product, a Machine Learning system can guide the salesperson and make it easier for them to perform their functions effectively.
Adapt to progress
Machine Learning is a perfect example of how new technologies can help us sell more effectively.
In recent years it has been essential for companies to adapt to technological advances and the digital world. However, it is no longer just about adapting, now the important thing is knowing how to use technology in our favor.