Best of 2022

Predictive Analytics Blog - The Best of 2022

 

The year is coming to an end, and with that, we present you in this post our five most successful blog articles from 2022.

This year, we've also earned our Christmas break, because as John Steinbeck said so well, "The art of resting is part of the art of working."

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Human and/or machine - Why we are afraid of AI: The ELIZA effect.

 
Does your robot vacuum cleaner have a name? Have you ever thought that Alexa has a sense of humour or Siri is having a bad day? And if Google Maps gets it wrong once and directs you right into a traffic jam, is that forgivable because it's a Monday? Or maybe you're just happy to see the friendly ATM that says "Thank you for visiting" and wishes you a nice day? All of this can be summarized under the "ELIZA effect".

In this blog article, we will take a closer look at this phenomenon and evaluate what impact the humanization of AI has on our interaction with this new technology.

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Qymatix Predictive Sales Software Winter Release

Implement Artificial Intelligence Today with the New Release of the Qymatix Predictive Sales Software

Maximise Customer Lifetime Value with automated Cross-Selling, Churn and Pricing recommendations using Qymatix Predictive Sales Software.

Karlsruhe, 24.11.2022. Qymatix Solutions GmbH has been helping manufacturers and wholesalers to increase customer lifetime value using artificial intelligence and predictive sales analytics since 2013.

Qymatix Solutions GmbH is launching a new version of its Predictive Sales Software (Software-as-a-Service). It is based on the latest research on the topics: Predictive Analytics for CRM systems, Advanced ERP Data Mining and Machine Learning for precise predictions. In summary, in the latest version of the software, the user experience is significantly optimized and the accuracy of the predictive models for B2B sales is more precise. Through which features these optimizations were made, the Qymatix development team describes as follows:

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Sales Management with AI

Sales Management with AI: Why Hyperautomation is becoming Inevitable in Sales.

 
By 2025, 75% of B2B organizations will use AI-powered sales solutions for hyperautomation, according to Gartner. Are you on board too?

There is keen interest in artificial intelligence (AI) and machine learning specifically for sales management in the B2B market. Gartner's "2021 CSO Priorities Pulse Survey" shows that investment in AI analytics and technologies is rising.

. It is well known that increasing competitive pressures, lower margins, and volumes of data not being appropriately used are critical drivers for sales management with AI. But other factors are making hyper-automation in sales inevitable.
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AI in b2b sales

Where AI already Supports Sales Today

 
Learn seven practical use cases where artificial intelligence is already supporting sales today.

More and more companies are using AI to streamline processes in sales and hand over unpleasant tasks to algorithms. AI is therefore assistance for sales without making employees obsolete.

The use of artificial intelligence (AI) is radically changing the way sales works. This primarily refers to sales processes under the influence of AI tools that make the work of sales employees easier, optimize operations and take away tasks that are perhaps not so readily done.
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Pricing Analysis in Excel: Make A Price Corridor in Three Simple Steps

This article describes a step-by-step introduction to price corridor analysis with Excel.

You will learn the meaning of a price corridor and how to create a price corridor in Excel from a list of sales transactions in your ERP system.

Let us disclosure that our software uses AI-based data mining methods to present a B2B pricing strategy to Key Account Managers. Based on these data mining algorithms and techniques, we would like to discuss how any sales representative can create a price corridor for predictive analysis using Excel.

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customer-attrition

Define and reduce customer attrition in the subscription industry

 
What is customer attrition in the subscription industry?

What is an average churn rate? B2B companies can expect an average annual customer churn rate of around 11%, a recent study found.

This cancellation rate fluctuates between countries and industries. Customer attrition can represent a 24 % average in office supplies, 16 % in the insurance industry and 13 % in banking.

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B2B Digital Transformation in Sales: Facts & Trends

Facts and trends about the B2B digital transformation.

If you are leading a Business-to-Business manufacturer or distributor, you know it already: sales is currently experiencing a massive transformation across the globe.

Advancement in artificial intelligence technologies of the last five years is providing manufacturing businesses and distributors with new exciting potential.

According to McKinsey, companies now have at their disposal a set of powerful technological tools that are, when properly implemented, able to guarantee future growth:

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Change of Perspective: Biases in B2B Sales

Why You are Not as Successful as You Think - Cognitive Biases in Everyday B2B Sales.

 

Do you f.e. know the "egocentric bias"? What perception disorders influence your (mis)success in B2B sales?

I'm pretty sure you won't like to hear some of the things in this article. However, my advice to you is: open your eyes and get through it! It will be worth it for you...

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Predictive Analytics and Customer Behaviour

Predictive Analytics to Understand Customer Behavior in the B2B Sector

Predictive analytics is an innovative technology in the B2B sector that calculates data-based predictions about customer behavior.

For some B2B companies, predicting customer behavior is like guesswork. Managers sit together and try to make predictions about upcoming sales, future pricing or appropriate customer loyalty measures.

Often these forecasts are based on sales reports, sales representative’s own gut feeling and, Excel analyses created with a lot of frustration. Don't get us wrong, the gut feeling of an experienced sales team can very often be right, especially when it comes to customers they have had a lot of contact with. But what about all the other customers?

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