Why a CRM System with Predictive Sales Analytics and AI?
CRM and Sales Analytics: In this article, you will learn what you can expect from a CRM system with artificial intelligence.
Using CRM systems have long been a common practice in large companies today, even if not always successfully implemented. Small and medium-sized enterprises (SMEs) often still have some catching up to do.
Meanwhile, the next expansion stage has long been underway. Predictive sales analytics/artificial intelligence (AI) is being added to the CRM systems.
AI Data Visualization for Advanced Sales Analytics
Understand your sales data and achieve a much higher business success through an intelligent visualization from Qymatix AI.
Sales Analytics Visualization
“A Picture is Worth a Thousand Words.” That is how Qymatix works. With only one sales data visualisation you can directly access all critical information available at any time: where are the Low-Hanging Fruits, Cross-Selling Quick Wins, Customers at Risk of Churning and Price Setting Potential. Sales managers are now able to implement and track the most appropriate sales KPI and to measure the overall status of existing customers, segmented turnover and profitability and new customer acquisition.
Market Basket Analysis in Excel - Example for Cross-Selling in B2B
One Useful Example of Predictive Sales Analytics Using Excel
Cross-selling is the practice of selling an additional product or service to an existing customer. Indeed, B2B companies define cross-selling in general and cross-selling analytics in particular, in many ways and with many names. One common naming used in retail or distribution is “market-basket-analytics”.
Most of us are familiar with cross-selling from our experience as online consumers. “Customers that bought X also bought Y” or “related products”. E-commerce websites make product suggestions based on a market basket analysis. The list of the possible suggestions is also known as “associating rules”. Marketing practitioners talk about “Buying Propensity”.
Study: Automated, Artificial Intelligence (AI)-based pricing versus Human-based pricing in B2B
To further explore the potential of automating the B2B salesperson’s pricing decisions.
You'll learn the results of a field experiment conducted by Yael Karlinsky-Shichor (School of Business at Northeastern) and Oded Netzer (Columbia University) to explore "Who makes better pricing decisions in B2B settings - humans or machines?"
We now know that algorithms and artificial intelligence are part of our daily lives. The general trust in systems like Google Maps is relatively high when looking at the number of users utilizing the platform.
Nevertheless, it often happens that we see a route suggestion that causes us to frown and think, "That seems weird to me. I don't think that's right."
Predictions by AI - Is Your Job in Danger?
Which Jobs Can be Taken Over by Artificial Intelligence?
We believe that the skills that mainly revolve around making predictions may be replaceable by machines. Is your job one of them? This blog article presents four implications of AI in the world of work, showing who needs to fear for their job and who can relax in the long run.
How To Use Artificial Intelligence for Sales Planning with Qymatix
Qymatix Predictive Sales Software is one of the most effective machine learning tools for sales planning. Artificial Intelligence for your business success.
Why should you use Qymatix Software for your sales planning? We give you three reasons: 1. You can focus on the most important sales metrics. 2. You can accelerate your B2B sales cycle. 3. Your sales team can work more efficiently and save resources through data-based prioritisation.
How does Qymatix Sales Planning Software work?
Qymatix is a pioneer in predictive sales analytics and a leading provider in this segment of sales acceleration tools. Qymatix helps B2B companies transform data into actionable insights that enable profitable growth.
Using Qymatix AI-based Predictive Sales Software, sales leaders can now analyse and strength their pricing strategies, find cross-selling opportunities, predict customer churn and rapidly expand the sales planning capabilities of their legacy CRM and ERP systems.
How Predictive Sales is Transforming the KPIs You Must Be Measuring
A straightforward question: is your sales team using the same sales performance KPI they did five years ago? If your answer is yes, you better watch out, you might not be using the right KPIs.
Of course, sales per quarter and sales quota attainment are still sensible KPIs to measure. However, total revenues or sales vs quota are lagging indicators. They are “slow KPIs” in the nowadays dynamics B2B sales world. They come way too late.
Predictive Analytics: Questions and Answers
This article answers the most asked questions about predictive analytics (PA), according to Google. Predictive analytics is a technology that allows you to look into the future.
Especially in the last two to three years, we have noticed a significant increase in interest in predictive analytics technologies, their possibilities, and their functionalities.
In 2015, we tried to find out what was frequently searched in the area ofpredictive analytics. Other than the question “What is predictive analytics?” no beneficial results came up.
Pricing in B2B: will AI replace salespeople?
When will AI replace Sales Jobs in Pricing, and what can you do about it.
Will AI replace sales jobs? Short answer: no. Long answer: it depends.
Artificial intelligence replaces skills and tasks, not people. While AI for sales might be overhyped now, it still follows known rules of innovation. If some technology takes decades to change the way we work, it cannot be considered disruptive. Advances in AI are slowly eroding the bulk of manual pricing processes.
