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Predictive Sales Archive - Page 2 of 3 - Dastani Consulting

Ohne Predictive Analytics drohen Marktnachteile

Predictive Analytics: Digital B2B-Sales

By Dastani Consulting

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

Forecasting | Vertriebsmanagement

Making sales opportunities tangible

By Dastani Consulting

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

Best-Practice der KI

AI: Between trust and skepticism

By Dastani Consulting

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

Zielgerichtete Markteroberung im B2B | Scoring Modelle

Targeted market conquest

By Dastani Consulting

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

Dynamic Pricing | Künstliche Intelligenz in der Preisgestaltung

The Added Value of Artificial Intelligence in Pricing

By Dastani Consulting

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

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