Generate Extra Sales With Cross-Selling and Artificial Intelligence.
Qymatix Predictive Sales Software leverages customer data to make product recommendations that maximize Cross-selling conversion rates.
Classifying Customers in B2B Sales: ABC Analysis and Then?
Joachim Meyn has many years of experience in B2B sales and customer management. In this article, he shares his expertise on "modern customer classification".
Classifying customers and potential customers is always a topic for heated discussions. Mostly, there is an agreement that sales teams can only look after some customers and potential customers with the same intensity.
To achieve the best possible results, it is, therefore, necessary to focus accordingly, i.e., to classify customers and potential customers, in short, to be selective.
The best-known form of classification, which has been tried and tested for decades, is the division of customers into A, B or C customers.
Three B2B Sales and Marketing Must-Have Software Tools for an Optimal Sales Funnel
Navigating the technology jungle: Three B2B sales & marketing must-have software tools for a secure future.
There is a reason for the term "technology jungle". As a B2B company, it is often difficult to decide which tools for marketing and sales it should include in the software portfolio.
Artificial intelligence, in particular, offers new opportunities to harness the company's data. Many medium-sized B2B companies, such as wholesalers or manufacturers, have recognized this problem
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Retain Customers with Artificial Intelligence - Churn Prediction
Reduce customer churn and attrition with Qymatix Predictive Sales Software.
Artificial Intelligence in SAP R3, ECC and HANA
The differences between SAP R3 and S4 HANA - and how SAP automates pricing.
Artificial intelligence (AI) is a rapidly developing field that has the potential to revolutionise B2B sales. One of the companies at the forefront of AI adoption is SAP, a global software corporation that provides enterprise software (ERP) to manage business operations and customer relations.
In this blog post, we will explore the role of AI in SAP's products and services and discuss how the company uses AI to automate pricing and sales analytics.
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KPI Examples: The Key Performance Indicators that every B2B sales manager should use.
From lagging and leading Sales KPI to Predictive Analytics. Measure what your sales team is doing to be successful.
Why are sales KPIs so important in B2B? Sales leaders can hardly change the way their customers buy, but they can certainly influence the way their team works. This is accomplished with the help of actionable metrics and key performance indicators.
Earn Millions of Euros with Dynamic Pricing Analytics
Automate personalisation and pricing processes in B2B using Qymatix B2B Pricing Analytics Software.
Artificial intelligence in B2B Sales. New Challenges – New Opportunities.
One interesting read about the use of artificial intelligence in B2B sales.
Artificial intelligence (AI) is gaining relevance in Business-to-Business (B2B) sales. Research shows that investment in the development and integration of AI and, in particular, machine learning, technology is continuing to rise.
More money pours today into AI enterprise projects than ever before. Companies should try to avoid vagueness and lack of focus on their aims and expectations, to prevent the costly failure of their AI developments – too often a cause of failure.
The Art of Artificial Intelligence in B2B Sales
AI in B2B sales: How exactly can B2B companies use Artificial Intelligence to support their sales?
The applications of artificial intelligence (AI) are very diverse. It is not without reason that big players such as Apple, Facebook, Google or Samsung pour billions in the development of new AI technologies.
The management consultancy KPMG estimates that global AI investments will increase from twelve billion US dollars (2018) to 232 billion by 2025.
How to Win Back Lost Customers in B2B
Joachim Meyn has many years of experience in B2B sales and customer management. In this article, he shares his impressions on the topic of "customer recovery".
First of all, losing customers is an entirely normal process. Therefore, one of the reasons to conduct systematic new customer acquisition is to replace these departing customers.
However, you should remember that it is about 10 to 11 times more expensive to acquire a new customer than to retain an existing one. It is therefore advisable to devote a certain amount of effort and resources to customer retention. But what happens when it is already too late?