Examples

How to set more realistic targets using predictive analytics

How to Set More-Realistic Sales Targets using Predictive Analytics

To replace the legendary Jack Welch as CEO, the General Electric (GE) Board had selected Jeffrey Immelt in November 2000. As he took the reins, Immelt set an ambitious sales target: “We believe that GE can grow two to three times faster than world gross domestic product, which translates to about 8 per cent sustained sales growth.”

To give you some perspective, the industrial segment of GE had grown 4 per cent historically.

Likewise, on December 4, 2003, Rockwell Automation announced that its board of directors had elected Keith Nosbusch as president and chief executive officer.

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How B2B Data Analytics is Changing Sales

How Big Data and Advanced Analytics Are Revolutionizing Sales in B2B, and What Managers Should Know About It.

B2B customer buying experience is radically changing. This trend has led to dramatic changes in the sales profession over the past decade.

“Nothing is so painful to the human mind as a great and sudden change”, wrote Mary Wollstonecraft Shelley in Frankenstein. Sales management in B2B is experiencing an abrupt and rapid transformation.

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The Case for AI in B2B Sales

 
Why artificial intelligence in B2B sales is unavoidable and what you can do about it.

Adapt or die – a fact of life for B2B sales nowadays. Key Account Managers know this too well, for they have very different tasks and jobs, as compared with just ten years ago.

E-commerce is by no means just a new sales channel. Order-takers roles will disappear in the next decade. This shift in skills will strongly influence how salespeople are selected and how they perform. Also, artificial intelligence impacts the role of B2B sales.

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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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b2b-distribution-kpi

The Most Important KPIs in Distribution and the Influence of AI

Key Performance Indicators (KPIs) are also used to manage companies in the retail and wholesale sectors.

AI in the form of predictive analytics can establish correlations between individual KPIs and thus provide recommendations for action.

Numerical parameters are necessary to understand the current situation of a business. Key Performance Indicators (KPIs) are indicators that can be used to measure and determine the performance or degree of fulfilment of pre-defined objectives within a company.

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