The Corona crisis is having a significant impact on consumer habits. Face-to-face contacts are limited and digital channels are moving strongly to the forefront of customer relationships and interactions. Read More
2020 was unpredictable – but what does that in turn mean for 2021? Digital B2B-sales relies much more on AI-based solutions to derive targeted predictions for the future from collected data. In 2021, key trends for the use of AI in B2B-sales are therefore expected. Read More
Only those who know their customers can accompany and inspire them throughout their customer experience. All you need is the following approach: Customer Intelligence. Read More
Like almost all areas of work, digitisation has also presented sales and marketing with new challenges. Customers have a higher information content and therefore have higher expectations of the sales process. The customer experience has become an important criterion and requires intensive cooperation between marketing and sales, supported by artificial intelligence (AI). Read More
The year 2020 is about to start: artificial intelligence (AI), chatbots, customer journey, customer experience, … – all these buzzwords indicate that sales have long been influenced by this and are in a phase of change. Read More
The B2B business, with a focus on online commerce, is slowly discovering artificial intelligence for itself. Those who adapt their approach and track down exciting approaches will be able to offer their customers a great deal in the future and experience a significant upswing in business. Read the first part of the article to find out what additional contributions AI can make to B2B. Read More
Big data analysis instead of gut feeling in the Christmas business: With the use of artificial intelligence (AI), the long-awaited Christmas wishes can be identified and the customer experience can be improved. Read More
The use of predictive analytics is indispensable in the course of digitalization. It serves to discover and analyze the traces of digital customers in big data across all contact points and channels in order to make predictions about future customer behavior and customer characteristics. Read More
An ever-increasing challenge for sales will be the proper use of limited and expensive resources. Predictive analytics is becoming increasingly important as a planning and analysis tool and can support sales teams in the data-driven sales planning of B2B business. Read More
Anyone who knows when a customer wants to switch to another provider can take countermeasures in good time. At this point, a churn prediction model helps to prevent customer churn and to ensure customer loyalty as the primary goals of a sustainable business strategy. Read More