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B2B Dynamic Pricing – What Is It and How Can You Implement It In Your Company using Software

QYMATIX

It is usually implemented using B2B pricing analytics software. Due to the surge of e-commerce, it is becoming more accepted in manufacturing and industrial distribution as well. How exactly can a pricing analytics software help you? Companies with a bias for action perform better, learn faster and avoid risks.

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B2B Digital Transformation in Sales: Facts & Trends

QYMATIX

Predictive analytics is becoming increasingly popular in B2B sales. It helps B2B sales teams to become more efficient, sell more and prioritise customers and leads. Machine learning makes it possible to discover insights and to gain a look into the future. The new customer journey is made of data and analytics.

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The Evolution of Artificial Intelligence and Machine Learning

QYMATIX

This article outlines the key stages in the history of artificial intelligence (AI) and machine learning (ML) up to current applications. You will also learn what role AI and ML play in today’s B2B business processes and why they are essential for predictive analytics. That made it possible to automate specific tasks.

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The Evolution of Artificial Intelligence and Machine Learning

QYMATIX

This article outlines the key stages in the history of artificial intelligence (AI) and machine learning (ML) up to current applications. You will also learn what role AI and ML play in today’s B2B business processes and why they are essential for predictive analytics. That made it possible to automate specific tasks.

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The future of B2B industrial distribution in Germany.

QYMATIX

Innovative industrial distributors will deepen their customer relationships and create sustainable competitive advantages in the future. Learn more about the future of B2B industrial distribution in Germany now. CALCULATE NOW THE ROI OF QYMATIX PREDICTIVE SALES SOFTWARE. exploit market fragmentation, 2. Goasduff, L.

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The Importance of Recommendation Systems Nowadays

QYMATIX

More broadly, recommender systems represent user preferences for the purpose of suggesting items to purchase or examine and are now an integral part of a lot of e-commerce sites. These techniques make recommendations by learning the underlying model with either statistical analysis or machine learning techniques.

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Artificial intelligence in Retail – What can Wholesale Learn from Retail?

QYMATIX

You will learn about the opportunities and challenges that were encountered when using AI systems. This enables brand-independent advice to be given to the customer. From the customer’s side – if he agrees – the following data is collected: – Address. – E-mail address. – Other sales (e.g.