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Big Data Archive - Page 2 of 6 - Dastani Consulting

Increasing efficiency and effectiveness in sales

By Dastani Consulting

In recent years, much has been promised about artificial intelligence (AI). Their goal was to imitate and even improve human intelligence. Above all, it should serve to significantly increase the efficiency and effectiveness of sales. Since AI is able to recognize patterns in customers and prospects, different criteria can be compared and desired characteristics in customers and prospects can be identified. The application of AI and predictive analytics brought clear advantages for sales, especially in the hard times of Corona. Read More

Predictive Analytics gegen Unsicherheit

Predictive Analytics in times of Corona

By Dastani Consulting

The Corona crisis is currently causing one of the biggest economic crises in history and is therefore deeply affecting many companies. Predictive analytics tools give managers the ability to predict events and reduce uncertainty. Find out what predictive analytics solutions can do in times of corona in the following article.  Read More

KI-basierte Bewertung von Leads

More turnover through focus

By Dastani Consulting

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

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

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