There are numerous solutions for all three problems that can get your business back on track. In this Insight, we present a data-based approach that solved a stubborn sales problem for one of our customers.

Using classification algorithms from the field of machine learning and XAI (Explainable Artificial Intelligence) methods, we carefully analyzed sales data for patterns and interaction effects. This allowed us to identify key indicators such as sweet spots of response time windows that were most likely to lead to successful deals.

This data-based approach makes it possible to probe the decisive steps in the sales process in order to ultimately gain control over new customer acquisition and have more planning security. The results of this machine learning application were impressive. The close rate increased by 15% just a few days after implementation, so that a direct link with the now more effective sales team could be established.

This use case shows how machine learning not only explains patterns, but also provides concrete, measurable recommendations in sales – a key to sustainable success and fewer sleepless nights.