Distribution

How to improve margins in b2b

How to Drastically Improve Margins in Industrial Distribution with a Predictive Sales Software

 
Predictive Sales Analytics helps increase customer lifetime value in B2B distribution.

New customer behaviour and innovative technologies are having an impact on wholesale and distribution businesses worldwide. Manufacturers looking for more efficiency and customers demanding omnichannel experiences at the lowest price push companies to their limits.

The addition of these disruptive forces, partially enabled by new technologies, means substantial margin pressures.

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Future of industrial distribution

The future of B2B industrial distribution in Germany.

 
Make the first steps to becoming a leader in the German market.

Germany and the US are two advanced, yet different industrial markets, with special sales and investment cycles. They have, however, plenty of parallels as developed economies.

Both are under the top largest in the world; built on years of intensive research, development, and industrial innovation. Similarly, the US and the German market is decentralized and varied, with interests and preferences differing from region to region.

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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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B2B E-commerce Analytics: Why Predictive Analytics is now critical

Predictive Analytics in B2B e-commerce has become decisive.

The sale of products and services via B2B platforms is on the rise. However, precisely because of the intense competition for comparable offers there, companies should automatically analyze their customer data to enable a personalized customer experience and identify churn risks.

For private consumers, buying online is ubiquitous. The Business-to-Consumer (B2C) sector is dominated by e-commerce platforms such as

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Industrial distribution: Identify potential for cross-selling with predictive analytics

How wholesalers and distributors recognize cross-selling potentials with predictive analytics.

Many manufacturers now sell their products directly to end consumers via web marketplaces. Unfortunately, wholesale trade and industrial distribution are coming under increasing pressure as a result.

Calculating cross-selling potentials using modern data mining can be a suitable strategy for keeping pace with the competition.

A glance at the analyses of the Federal Statistical Office shows that almost 90 % of Germans make online purchases at least once a year.

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