Customer Optimization in Wholesale Distribution: The Hidden Treasure in ERP

  How can existing customers be optimally retained and developed with ERP data mining? A revolution is underway in the vibrant heart of the German retail industry, where managers and sales managers juggle a seemingly endless variety of…

Success through Data Analytics in Sales

  In a world where competition is tougher than ever before, data is the most valuable asset a company can have. Targeted and effective data analysis enables not only the evaluation of current performance, but also the forecasting of future…

Processes, Tools and Data in modern B2B Wholesale

  AI in industrial wholesale: how does modern sales work? In the dynamic environment of specialised wholesale, efficient processes, powerful tools and the intelligent use of data are essential in order to remain competitive. Specialist…

Sales & Operations Planning

The Five SALSA Principles of Effective Sales and Operations Planning

Sales and Operations Planning (S&OP) is probably the most important planning process of any company. It will determine the difference between success and failure in the years to come. Usually, the S&OP includes a list of open sales deals,…

Predictive Sales Analytics B2B

Why is Predictive Sales Analytics a “Must-Have” to Increase Sales Productivity in Business-to-Business?

Predictive Sales Analytics is a Game-Changer in B2B. Productivity in business-to-business (B2B) sales is simply defined as the output rate of a sales team, considering all direct costs and performance. Two trends that are drastically affecting…

Artificial Intelligence in a Salesman of Construction Machinery

Artificial Intelligence in a Construction Machinery Company

Artificial intelligence technology can be used in a wide variety of areas. In this article, you will learn how AI was used in a mechanical engineering company. I've already written a few posts on this blog about Artificial Intelligence (AI) in…

predictive sales software

Forecasting Individual Customer Lifetime Value: Why You Should Not Use External Data

There are two types of historical data to use for predictive analytics and sales forecasting: internal and external data. How to know which one to choose? Making a forecast always requires planning under conditions of uncertainty. Successful sales…

Wie Sie Predictive Analytics in Ihrem CRM für datenbasierte Entscheidungen nutzen können

How to use Predictive Analytics in your CRM for Truly Data-Driven Decisions?

  Successfully implementing Predictive Analytics for data-driven decisions in your CRM requires more than just software. Every successful sales team wants to become data-driven. Companies that successfully execute predictive analytics in their…

AI in CRM

Why a CRM System with Predictive Sales Analytics and AI?

  CRM and Sales Analytics: In this article, you will learn what you can expect from a CRM system with artificial intelligence. Using CRM systems have long been a common practice in large companies today, even if not always successfully…

Predictive Sales

Why is internal data considered more reliable and easier to collect than external data?

Simply explained: Why internal data is better for predictive analytics in B2B. Companies use sales forecast to make business decisions. They also employ them to predict future developments better than their competitors. However, reliable…