Much has been written about artificial intelligence (AI) in the past. Depending on the perspective, chances and possibilities, but also risks and challenges have been considered. Many companies place their trust in AI – others, however, have great fear of contact. 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
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
Everybody knows it: If you want to buy a certain product online and compare the price over several days, yesterday’s price is no longer the same. This dynamic pricing technology is increasingly being used by e-commerce providers because it can significantly improve a retailer’s business. Read More
A churn prediction model helps to identify the migration of a customer safely and in time, in order to fulfill the goal of a sustainable business strategy and secure sales. 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
In the first part of our article you could read to what extent AI methods – from a strategic point of view – can be helpful in a recessive phase in order to realize opportunities for market share gains. In the second part of this article, we will focus on the operational aspects of sales and marketing and conclude with a comprehensive conclusion. Read More
In the first part of the series „Dynamic Pricing“ you read that dynamic pricing describes the application of statistical learning to price optimization. A trader’s goal is to maximize performance with minimal price increases at constant costs. This is exactly where the Predictive Analytics software attacks, which can do much more than just observe the competition. Read More
„Dynamic pricing“ is not a foreign word in retail, even if it does not always catch the eye of most consumers. Used intelligently, Dynamic Pricing can use Big Data to improve a retailer’s business: profit and revenue are expected to grow. Read More
