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. Using AI for sales efficiency.

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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Motivation im Vertrieb

Why Motivation in B2B Sales is overrated

Managing Sales Behaviour to Improve Sales Performance using Predictive Sales Analytics

Improving sales performance often involves coaching and modifying the way your key account managers work - what practitioners in the field of sales & marketing define as behaviour. Changing behaviour usually leads to better performance in B2B sales.

There are several known theories and models about behaviour that have not been explicitly developed for sales professionals, but about general social practice.

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Retain Customers | Qymatix Predictive Sales Software

Four Dangerous Signs That You Will Miss Your Sales Targets This Year

With a growth of 10.8 %, the year 2010 looked optimistic for the German media market, compared with 2008 and 2009. The improvement included online marketing, free magazines and trade journals, amongst others. Everyone was betting on an active recovery for the key market players.

However, on January 18, 2011, the second biggest European print service providers, Schlott Gruppe AG from Germany, opened insolvency proceedings.

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algo management future of sales

Why Algorithms Are The Future Of Sales Success

We put our lives in the hands of autopilots regularly. When are we trusting AI with our customer relationships?

Lawrence Sperry was the third son of Elmer Sperry, one of America’s most prolific inventors. Elmer filed 400 individual patents, more than twice the amount of Thomas Alva Edison. Father and son together not only invented together, but they also manufactured and sold their inventions through their companies too.

Lawrence invented the autopilot. He took one of his father’s most famous inventions, the gyrocompass, and developed an automatic flight control system.

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predictive-sales-analytics-revolution-1

What is the fuzz about Predictive Analytics? One example of B2B Sales will make you start today.

This predictive analytics example will surely make you uneasy about your sales costs today.
 

B2B sales went through several transformations in the past decade. Mobile is ubiquitous, CRM Systems are universal and “customer journey” achieved mainstream status. However, Predictive analytics is cutting a “before and after” in B2B sales.

 

The ability to make predictions radically changes sales in business-to-business (B2B). It brings enormous advantages to pricing, reduces churn and improves sales planning.
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Kundenbindung statt Kundenabwanderung mit Qymatix

How to use Big Data to stop customer churn in B2B | Predicting Customer Churn

Sales leaders in business-to-business (B2B) organisations are under constant pressure to spot new business opportunities.

It is, however, a too often neglected fact, that some of their current customers will churn and recurring revenues will not return.

Besides attracting new customers, succesful B2B firms also direct their efforts into retaining existing ones.

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How To Make Sure Your Sales Team Is Recession-Proof?

A B2B Recession-Proof Salesforce can keep any company afloat.

Is there a global recession looming? Although there is much speculation about the next global recession, most advanced economies are still not feeling the pain. However, every boom has its expiration date.

When the next recession comes and not whether it comes seems to be the right question.

Set aside for a moment the discussion about global risks outside the control of most B2B managers. Let’s focus on the specific steps that sales executives can take to make their sales team recession-proof.

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Text_Machine_Learning

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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Sales-Controlling-predictive-analytics-B2B

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.

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