Wie wird Vertrieb in 50 Jahren funktionieren – Blick in die Zukunft

What type of B2B sales will still exist in 50 years?

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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All About ERP Data Mining for Sales

Data Mining in ERP for Sales - All About It!

ERP Data Mining: what we learnt from analysing 100 million of B2B sales transactions.

Data mining is the application of a varied assortment of statistical techniques to ERP datasets. Companies nowadays use data mining to predict outcomes, identify sales trends, prevent customer churn, and dynamically adjust pricing strategies.

Mining enterprise resource planning (ERP) sales data is critical in Business-To-Business, where small improvements in sales efficiency can have a significant impact on results. Mining ERP sales data helps customers to unlock a significant amount of value, discover quick-wins, and to prioritise their sales activities. Automatizing this process is possible today with the help of artificial intelligence (AI).

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Großhandel als nächstes OPfer des eCommerce

E-commerce trends: why German wholesalers are the next victim of e-commerce

 
B2B E-commerce in Germany keeps growing – good or bad news?

The Business-to-Business wholesale trade in Germany and the world has changed considerably over the last years and has proven to be exceptionally flexible. It is under a growing threat, nevertheless.

Several trends underpin its transformation. New forms of industrial distribution are emerging, and big manufacturers offering e-commerce are choking the middle-guy. Wholesalers are creating tangible value for their customers while providing new services, not only logistic ones.

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