Author: Lucas Pedretti

Pricing-Analytics

Strength in price setting is your profit driver number one

The Impact of Pricing Analytics on your company earnings.

Everybody knows, B2B pricing analytics represents one of the most critical levers to boost earnings. Still, this reality is a sometimes-overlooked fact in Business-to-Business (B2B).

However, getting B2B pricing right can represent both financial success and substantial competitive advantage. Pricing is not only a driving factor in for-profits, but it also impacts how customers and markets perceive brands.
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Umsatzrentabilität B2B steigern

How to calculate and increase return on sales with predictive analytics?

 
How can B2B manufacturing and distribution increase return on sales (ROS) using strategic sales controlling and predictive sales?

Is there a sales and marketing KPI that manufacturing and industrial distribution companies can use to measure the efficiency of their teams? Yes, there is, The Return on Sales or ROS.

Sales executives also define ROS as a net profit rate. It tells a company how much of every dollar it takes in turns into profit.
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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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Algorithmic Management in B2B Sales

Artificial Intelligence in Sales: B2B Algorithmic Management

Modern data-driven management in B2B sales is where Big Data meets Artificial Intelligence

Although algorithmic management boasts a fancy, new name, managing a workforce using data is not necessarily a new postulate. Just remember that “The Principles of Scientific Management” were published by Frederick Taylor in 1911 and soon became a culprit of the data-driven management.

Algorithmic management is Taylorism in times of big data and artificial intelligence. It uses machine learning to manage and control workforces. Millions of people employ algorithmic management when ordering food, buying online or taking a cab. Millions of workers respond to algorithms. For some, the future of management, for others a depressing picture.
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ai-sales

Sales Management in times of Artificial Intelligence – Five tips to redefine B2B Sales

Artificial intelligence in sales: our top five tips!

Sales processes, salespeople and sales management should adapt to the brave new world of artificial intelligence. Artificial intelligence is taking over the administrative tasks that consume much of the managers’ time. It is doing it faster, better, and at a lower cost. It has pros and contras. AI will redefine management.

In B2B Sales, artificial intelligence (AI) refers to Enterprise Resource Planning (ERP) and Customer Relationships Management (CRM) systems equipped with machine learning and automatized data mining features.

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