How artifical intelligence is shaping your sales strategy

How artifical intelligence is shaping your sales strategy

How artifical intelligence is shaping your sales strategy

From Apple`s Siri to Google Allo, we are in the age of artificial intelligence, and it is getting integrated into our daily routines. Similar trends can be seen in the way we do our sales. Yes, you heard it right — artificial intelligence is shaping our sales strategy. Right from sales prospecting to closing deals automatically, it has brought about a transformation. There is no need to fear for your jobs, however; artificial intelligence is only going to help those in sales focus on chasing the right customers and closing deals faster.

As per a recent Forbes article, businesses are realising the need for analytics in the sales process, and data-driven sales roles will be in high demand.  Gong.io  is a startup that improves B2B sales productivity by analysing sales conversations with clients. According to CEO Amit Bong, people do not expect to see sales people anymore as there are tools that enable you to sell virtually to any part of the world. Inside sales are becoming more prevalent than enterprise sales and instead of creating a full-fledged sales army of your own you can outsource your routine tasks to artificially intelligent tools.

Read Also:
Artificial Intelligence and Virtual Reality Are About to Transform Business. Here's How to Be Prepared.

So let’s go further and understand how you can leverage artificial intelligence to improve your sales process.

The process of engaging, nurturing, and qualifying leads can be handled by artificial intelligence now. Conversia, which provides a virtual sales assistant, helps you start friendly conversations with your online customers and ensures automatic response to every lead 24 by 7. Using tools like these increases site conversion and engagement rate by 50 percent.

The sales force is offering an intelligent customer relationship management tool and has forayed into using artificial intelligence by launching Salesforce Einstein that uses deep learning and natural language processing to help you make sense of your CRM data. It helps you discover insights into your customers, predict the outcomes, and also recommend the next steps you should take to close deals faster and improve your sales ROI and revenue.

We have dealt with data mining techniques that are manual and much too time consuming.  Not only does it take days to find sales prospects for your outbound campaign but the quality of leads is also not very high. This no longer poses a problem. Machine learning can help you understand your existing customer profiles — which technology they use, how much revenue they have, how many employees they have, their geography and demographic preferences — and based on that, machine learning can classify using probabilistic techniques the other set of customers who are similar to your existing customers.

Read Also:
Pushing data quality beyond boundaries

 



Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
A Complete Tutorial to learn Data Science in R from Scratch

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
How Facebook Leverages Artificial Intelligence -

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
How Sense with Voice will save your sleep with big data

Real Business Intelligence

11
Jul
2017
Real Business Intelligence

25% off with code RBIYM01

Read Also:
Why modern data optimization requires a unique approach

Advanced Analytics Forum

20
Sep
2017
Advanced Analytics Forum

15% off with code Discount15

Read Also:
You Need Open Source Technologies, but They're Not Easy

Leave a Reply

Your email address will not be published. Required fields are marked *