Lead Scoring

Vertriebscontrolling-Kunstliche-Intelligenz

Artificial Intelligence Example to Rock Sales Controlling in B2B

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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B2B-Sales-Controlling

Predictive Analytics & Controlling – How to use it in B2B Sales

How the sales analytics tools you use impact your sales controlling.

Controlling sales in B2B is increasingly becoming a high-tech game. Since selling cycles in business-to-business are getting longer and sales is getting more expensive, controlling need to look further into the future.

Machine learning, a well-known example of weak artificial intelligence, represents a fantastic opportunity for improvement in B2B sales controlling and business intelligence. It enriches the world of sales analytics with a substantial competitive advantage.

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All About ERP Data Mining for Sales

All About ERP Data Mining for Sales

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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B2B Customer Journey Management

How to improve your B2B Customer Journey with Predictive Analytics

About the b2b Customer Journey Management and how Predictive Analytics can help.

Predictive analytics, customer-centric selling, and optimization of the customer journey (CJ) have long been part of everyday life in the B2C sector. In the B2B industry, things look somewhat different. First projects are starting, the theory has already been heard and understood – but there is still a lot of uncertainty regarding the concrete implementation.

That is no wonder. There are some fundamental differences between the B2C and B2B sector. For example, business customers often have higher expectations of the business relationship. It is more important for salespeople to build a personal relationship with their customers and to know their customers.

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wie man die datenqualität verbessert

If Your Data Is Bad, Your Sales AI Tools Are Useless

The impact of poor data quality in business analytics and artificial intelligence.

Artificial intelligence (AI) is steadily advancing in B2B sales. AI is changing the way customers are buying and therefore how salespeople should work.

The gathering of data, its quality, the source systems, all play a central role in the implementation of AI in Sales. Poor data quality may be hard to measure, but it takes an essential part in the application and execution of artificial intelligence systems and predictive analytics.

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