One often hears from owners and managing directors of renowned companies that one is lucky if incoming inquiries are properly answered. This is because the sales department has little or no capacity to handle inquiries properly. For this reason, an AI-based solution for the evaluation of leads is recommended. Read More
In sales, there are several use cases for predictive analytics: price optimization, customer churn prevention, lead scoring, etc. For many companies, these applications have become an indispensable component because they have a strong impact on business results. Time and again, products are sold unprofitable in B2B sales. But many sales managers discover very low prices only when margins are already negative. Companies that fail to implement predictive analytics risk losing market share, customer satisfaction, and most importantly, sales productivity. Read More
Today’s customers don’t want to spend hours searching for the right product – instead they want the product to find them. The customer’s expectation is that companies already know their wishes and needs and that they can address them personally on all channels. The always-on mentality of the digital age requires that information must be available at all times. This is the only way to achieve a coordinated perfect customer journey by means of seamless customer experiences. Read More
Predictive analytics and AI are two terms that are used more and more frequently. These innovative technologies and digital tools are revolutionizing companies across industries and sectors. From automated processes to individual target customer approach in marketing to data-driven use in sales to target new customers with appropriate offers. Both terms are often used interchangeably and are practically synonymous. Read More
For sales, it is an explosive topic: the foresight of customer projects and sales volumes. It is not uncommon to plan too optimistically or for customers to develop differently than previously thought. Read the following article to find out how sales forecasting can be optimally successful. Read More
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
Careless management, underestimation of deadlines or an exceeded budget: there are many reasons why projects fail. With the help of machine learning, companies can use current data to immediately identify and counteract misjudgements. Read More
Scoring models are used to create a relevant basis for decision-making, especially in the B2B market. The goal of such models is to evaluate data sets using various criteria in order to use them specifically for new customer acquisition. 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
