künstliche Intelligenz und Predictive Analytics im b2b vertrieb

Study: Automated, Artificial Intelligence (AI)-based pricing versus Human-based pricing in B2B

 
To further explore the potential of automating the B2B salesperson’s pricing decisions.

You'll learn the results of a field experiment conducted by Yael Karlinsky-Shichor (School of Business at Northeastern) and Oded Netzer (Columbia University) to explore "Who makes better pricing decisions in B2B settings - humans or machines?"

We now know that algorithms and artificial intelligence are part of our daily lives. The general trust in systems like Google Maps is relatively high when looking at the number of users utilizing the platform.

Nevertheless, it often happens that we see a route suggestion that causes us to frown and think, "That seems weird to me. I don't think that's right."

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Qymatix Predictive Sales Software

How To Use Artificial Intelligence for Sales Planning with Qymatix

 
Qymatix Predictive Sales Software is one of the most effective machine learning tools for sales planning. Artificial Intelligence for your business success.

Why should you use Qymatix Software for your sales planning? We give you three reasons: 1. You can focus on the most important sales metrics. 2. You can accelerate your B2B sales cycle. 3. Your sales team can work more efficiently and save resources through data-based prioritisation.

How does Qymatix Sales Planning Software work?

Qymatix is a pioneer in predictive sales analytics and a leading provider in this segment of sales acceleration tools. Qymatix helps B2B companies transform data into actionable insights that enable profitable growth.

Using Qymatix AI-based Predictive Sales Software, sales leaders can now analyse and strength their pricing strategies, find cross-selling opportunities, predict customer churn and rapidly expand the sales planning capabilities of their legacy CRM and ERP systems.

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Predictive Analytics in B2B: 3 Ideen für Vertriebsleiter

Are you a sales manager with Big Data? Here are three Predictive Analytics examples for B2B

With predictive analytics, big data becomes a big opportunity for B2B sales managers. This significant opportunity requires, however, a profound understanding of the sales situation, coupled with an understanding of big data mining models available.

 

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Rue Eugène Moussoir at Moret: Winter

Predictive Analytics Blog - The Best of 2021

 

It's that time again. The year is coming to an end and we know you're all eagerly awaiting our "Best of 2021" blog articles.

Every year we come up with a theme under which we decorate the five most successful blog articles.

We know you've all been working hard this year, the pandemic isn't over yet, and the Christmas break is well deserved.
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Häufigste Fragen Predictive Analytics

Predictive Analytics: Questions and Answers

 
This article answers the most asked questions about predictive analytics (PA), according to Google. Predictive analytics is a technology that allows you to look into the future.

Especially in the last two to three years, we have noticed a significant increase in interest in predictive analytics technologies, their possibilities, and their functionalities.

In 2015, we tried to find out what was frequently searched in the area ofpredictive analytics. Other than the question “What is predictive analytics?” no beneficial results came up.

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b2b pricing analytics

Pricing in B2B: will AI replace salespeople?

 
When will AI replace Sales Jobs in Pricing, and what can you do about it.

Will AI replace sales jobs? Short answer: no. Long answer: it depends.

Artificial intelligence replaces skills and tasks, not people. While AI for sales might be overhyped now, it still follows known rules of innovation. If some technology takes decades to change the way we work, it cannot be considered disruptive. Advances in AI are slowly eroding the bulk of manual pricing processes.

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Artificial Intelligence in b2b sales

Qymatix supports international research project in sales and artificial intelligence

Karlsruhe, 18.11.2021. Qymatix supports an exciting international research project: Three researchers from three different universities have joined forces for a joint research project: "Success in sales through the use of artificial intelligence (AI)".

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Die Macht der Daten

B2B Predictive Analytics - Successful Data Management

How to make data work for your B2B sales team while avoiding common pitfalls in data management

We can associate power with strength, force and influence, but also with destruction and violence - the typical two sides of a coin.

Sayings like “data is the new oil” or “data is a valuable asset” are on everyone’s lips in the age of Big Data. These statements might hide a profound truth, nevertheless. If used rightly, data is worth its weight in gold for a company.

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Wie wird Vertrieb in 50 Jahren funktionieren – Blick in die Zukunft

What type of B2B sales will still exist in 50 years?

Will sales jobs still exist in fifty years from now? Will robots take over all sales jobs? How will artificial intelligence redefine sales management? What long-term influence does digitisation have on B2B sales?

To discuss the future of sales, let's first present how companies made Business-to-Business sales 50 years ago and how it works today. Let’s then peep inside the crystal ball to see what sales (and marketing) can look like in the future.

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Kosten B2B Vertrieb Leadgewinnung vs Bestandskunden

Customer Retention vs Customer Acqusition in B2B - What is More Expensive?

 
In this article, you will learn about an interesting B2B practice in which customer retention is contrasted with customer acquisition. What is more expensive?

In detail, distribution costs naturally differ from company to company. However, there are two steep theses in the generalization, which also appear again and again in the literature:
1. Acquiring a new customer is ten times as expensive as retaining an existing one.
2. In most cases (in B2B sales), the initial order from a new customer does not cover costs.

Interestingly, there are many citations for both theses in the literature on sales and marketing, but hardly any scientific studies.

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