Will sales jobs still exist in fifty years from now? Will robots take over all sales jobs? How will artificial intelligence redefine sales management? What long-term influence does digitisation have on B2B sales?

To discuss the future of sales, let’s first present how companies made Business-to-Business sales 50 years ago and how it works today. Let’s then peep inside the crystal ball to see what sales (and marketing) can look like in the future.

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B2B sales intelligence – should you make or buy your tool?

With the cost of sales sky-rocketing and customers changing their buying behaviour, sales intelligence has become critical to the success of any company.

This situation is especially evident in Business-to-Business, where the cost of sales makes takes the top red of each income statement.
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How far have AI and predictive analytics applications established themselves in the German B2B corporate world in 2021? Where is the trend heading, and what can we learn from the “Urgent-and-Important-Matrix”?

If you landed in this post, you probably know what predictive analytics (PA) is, how it relates to artificial intelligence and what benefits you can expect. If not, then we recommend reading this post first.
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Why is a legacy ERP becoming irrelevant in an AI era, and what can you do about it?

Let’s face it. In a few years, we will lose the battle against the terminator. Even without the help of a computer scientist, a sales manager recognizes that the near future will bring considerable changes in his profession – triggered by artificial intelligence (AI).

Soon machines will take over the job of a sales manager. There will be artificial thinking selling-machine more efficient than salespeople will ever be, thanks to artificial intelligence. The more data they gather, the better they get. Machines will soon take over. Brace yourself.

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Machine learning (ML) and artificial intelligence (AI) hold the key to a tremendous improvement in sales controlling efficiency. A software is intelligent if it can solve problems independently and efficiently.

The degree of intelligence depends on the level of autonomy, the extent of complexity of the problem, and the efficiency of the problem-solving process. In artificial intelligence terms, researchers speak of “strong” versus “weak” AI – “general” and “narrow” AI, respectively.
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