Qymatix Steps Up the Sales AI Game with a new release of its Predictive Sales Analytics Software
Maximize Customer Lifetime Value with Predictive Sales Analytics from Qymatix AI.
Karlsruhe, 21.11.2018. Qymatix Solutions GmbH is since 2013 helping B2B companies to increase customer lifetime value using predictive sales analytics.
Qymatix is releasing today the second version of its Software-as-a-Service Tool using the latest data visualisation, front-end and data mining technology.
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Qymatix is the only German startup invited to the Deep Dive Meetup "Customer Centricity" of STARTUP AUTOBAHN.
On November 7, Qymatix Solutions GmbH presents its Predictive Sales Analytics solution to a selected group of innovative German corporations.
This Meetup is all about "Customer Centricity & Operational Excellence" at BASF's headquarters in Ludwigshafen. And Qymatix - as the only German startup in the field of "Customer Centricity" - belongs to these innovative young companies.
Shakespeare is dead! Let machine learning bring intelligence to your text.
One first-hand example of predictive text scoring and sentiment analytics using machine learning.
We are always looking for a way to bring machine learning to ERP-Systems. Companies can apply a Predictive Scoring using Machine Learning to prioritize sales leads, discover cross-selling opportunities and to classify text.
To support the efforts of our B2B marketing team, we invested time and resources, developing a machine learning scoring system for our blog content.
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The remarkable truth about Predictive Sales Analytics & Controlling
Is predictive sales analytics software the newest secret weapon in B2B?
No organisation will survive the next decade without harvesting the power of predictive sales analytics. However, many sales leaders in Business-to-Business (B2B) still lack the understanding of its benefits or the infrastructure they need.
Some ignore the value of their sales data, languishing unused in their ERP and CRM systems. Furthermore, B2B sales controllers are expected to gather an ever-increasing amount of sales data for their sales leaders to neglect value extraction. Moreover, there is no value in the data if it is not used to improve revenues.
How to Master Your New Sales Management Job in the First 90 Days
90-day plan for a new B2B Sales Manager.
The first 90 days as a sales manager represents a critical period. It is your chance to make a good lasting impression and to change the status-quo in B2B sales teams.
Your team will be concerned, and you will be under stress. In this article, we want to share with you some ideas to successfully overcome this defining first quarter. We also want to show you how our predictive sales tools can help you.
“Every company is a data company”. Data Strategy for B2B Predictive Sales Analytics
How to develop a winning data strategy in the artificial intelligent era.
Having read the most recent publication of the author, strategic business and technology advisor Bernard Marr “Data Strategy: How To Profit From A World Of Big Data, Analytics And The Internet Of Things”, we would like to present our ideas regarding predictive sales analytics in business-to-business (B2B).
Marr is an internationally best-selling author and futurist,
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When is Artificial Intelligence Replacing my Sales Job?
We believe that automation and artificial intelligence simply replace jobs. They do not. They replace the skills and tasks of a making up a profession instead.
Therefore, if you are wondering when artificial intelligence is going to replace your sales job, you need to analyse which tasks and skills make it up. High-productivity jobs – such as B2B Sales Jobs – requires advanced skills such as decision making, problem-solving, and advanced analysis.
Predictive Analytics CRM - A New CRM or Predictive Analytics? What comes first?
The top 3 reasons why successful companies avoid changing their CRM and use Predictive Analytics instead
Implementing a new Customer Relationship Management System (CRM) is a minefield for B2B companies. These projects tend to last longer than planned and cost more than budgeted. In many cases, they fail altogether.
CRM vendors are quick to oversell the utopian benefits of their solutions. Companies buy them in good faith without clear and measurable expectations.
Four Machine Learning Applications Your B2B Sales Teams Might Be Using Today
Real life machine learning examples for B2B sales
Without any doubt, in the coming years, progress in machine learning, artificial intelligence and sales automation, will replace many of the time-consuming tasks of B2B salespeople. Your sales team is probably already using machine learning.
Artificial Intelligence (AI) in sales does not mean that Terminator is applying for a sales job, no. It mainly means machine learning. Machine Learning (ML) is a part of what researchers call “narrow” or “weak” artificial intelligence. Neither “weak” or “narrow” sound much of a fighting robot. Weak AI uses software to solve specific problems better than humans.
How to use software for customer churn to improve customer retention - Qymatix Example
Reduction of customer attrition by implementing a churn prediction software in your sales reporting
Understanding and avoiding customer churn ( or attrition) in Business-to-Business(B2B) organisations can make the difference between a successful financial year or a miserable one.
Every experienced sales leader knows that some customers will eventually churn. Studies in the field of customer retention talk of a 5 to 25 % customer churn per year, depending on the industry. Customer attrition is revenue lost.