Why AI-based B2B Sales Forecasting is Important and Still Fails
Do you want to realize your potential in B2B sales and be more successful than the competition? Accurate AI-based b2b sales forecasting is an insider's tip - right?
To help you understand what you should know primarily about b2b sales forecasting, I will quote Editor-in-Chief Michael Gilliland, who has published several articles in "The International Journal of Applied Forecasting."
"Our forecasts are never as accurate as we would like them to be or as they should be. The result is a great urge to throw money at the problem in the hope that the problem will go away. There are many consultants and software vendors out there who will scoop up the money in exchange for promises to improve forecast quality, but those promises still need to be fulfilled. Many organizations, perhaps including yours, have spent thousands or even millions of dollars on the forecasting problem, only to end up back with the same lousy forecast."
Sounds very motivating. The quote does not mean to be an introduction to an anti-forecast article, but it reflects the reality in many companies.
Generate Extra Sales With Cross-Selling and Artificial Intelligence.
Qymatix Predictive Sales Software leverages customer data to make product recommendations that maximize Cross-selling conversion rates.
Retain Customers with Artificial Intelligence - Churn Prediction
Reduce customer churn and attrition with Qymatix Predictive Sales Software.
KPI Examples: The Key Performance Indicators that every B2B sales manager should use.
From lagging and leading Sales KPI to Predictive Analytics. Measure what your sales team is doing to be successful.
Why are sales KPIs so important in B2B? Sales leaders can hardly change the way their customers buy, but they can certainly influence the way their team works. This is accomplished with the help of actionable metrics and key performance indicators.
The Importance of Recommendation Systems Nowadays
How do recommendation systems work and why are they important for B2B companies?
In recent years, the rapid use of the internet has made it clear that it is the most popular for communication and product purchases. As a result, the amount of available digital information has been increased.
This situation has created the challenge of information overload which hinders timely access to items of interest on the Internet. Although the so-called information retrieval systems, such as Google, are a partial solution, these systems are unable to map available content to user’s interests and preferences.
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Earn Millions of Euros with Dynamic Pricing Analytics
Automate personalisation and pricing processes in B2B using Qymatix B2B Pricing Analytics Software.
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."
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:
Level Up! How AI Upgrades B2B Sales Processes.
Perhaps you know the difference between effectiveness and efficiency. But do you take it into account in your daily work in sales? In this article, I show you how to upgrade your sales processes from effective to efficient to avoid "game over" in the next few fiscal years
Sales people often reach their goal - the sale of one or more products - even without technical support. However, high costs are usually incurred along the way. For example, through superfluous contact attempts, customers who leave the company, or unrealized price potential.
This fact provides a terrific example of the distinction between effectiveness and efficiency.
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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