Why Projects using AI in B2B Sales fail and yours will too
Successful organizations do not underestimate the complexity and hidden costs of artificial intelligence (AI) projects.
Artificial intelligence (AI) for sales has become an arms race. Correctly employing it will separate the winners from the losers in Business-to-Business (B2B). There are, however, very high chances that your AI project will not deliver the promised ROI or will ultimately fail.
6 Facts from Studies on Artificial Intelligence in B2B Sales
In this post, you'll learn about six interesting findings from various studies on artificial intelligence in B2B sales.
According to a recent survey by Bundesverband Industrie Kommunikation e.V (bvik), almost all decision-makers (95%) are open to both new technologies and their organization's digital transformation, even after the crisis. Are you too?
If you've landed in this post, you may be considering how you can use artificial intelligence for your sales. You probably have a few basic questions first because just because you're open to technology doesn't mean you should rush into it, right?
Qymatix is the winner of the "AI-Champions BW 2021 Award"
Stuttgart, 26.07.2021
The "AI-Champions BW 2021" award ceremony took place for the second time in a hybrid event in Stuttgart. State Minister of Economic Affairs Dr. Nicole Hoffmeister-Kraut announced the nine winners in three categories on site: Research Institutions, Companies with more than 500 Employees and Companies with less than 500 Employees.
Dr. Hoffmeister-Kraut was particularly keen to attend the event in person, as she sees artificial intelligence as a key technology for the state of Baden-Württemberg.
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Our paradoxical behaviour in dealing with algorithms
Human behaviour towards algorithms in everyday life, based on the book "Hello World - What algorithms can do and how they change our lives" by Hannah Fry.
A few words in advance about the book. Hannah Fry believes "Algorithms are everywhere, and it's time to understand them." A statement I agree with 100 per cent. And that's what her work is about.
The author manages to shed light on the world of algorithms in a very entertaining way and in easy words.
Each chapter starts with an exciting example from the real or fictional world to illustrate algorithms' aspects or problems.
How to define customer churn in B2B?
B2B Churn Rate: Definition and Calculation.
Business-to-Business (B2B) companies depend on building and developing long-term relationships with their customers to be financially successful.
However, over time, some customers will stop buying or will defect to the competition. Sales managers define this situation as “churn” or “customer attrition”. Managing and reducing customer churn is one of the most important, yet sometimes overlooked job of the sales leader.
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How to Drastically Improve Margins in Industrial Distribution with a Predictive Sales Software
Predictive Sales Analytics helps increase customer lifetime value in B2B distribution.
New customer behaviour and innovative technologies are having an impact on wholesale and distribution businesses worldwide. Manufacturers looking for more efficiency and customers demanding omnichannel experiences at the lowest price push companies to their limits.
The addition of these disruptive forces, partially enabled by new technologies, means substantial margin pressures.
Five Facts from our Predictive Sales Software that you probably don't know
Here are five interesting facts we discovered while analyzing sales transactions of B2B companies.
Are you interested in learning from your sales data? Artificial intelligence makes sales teams truly data-driven, while offering exciting insights. Learn what other companies have discovered with us now!
How did we get to these interesting facts? Using our Predictive Sales-AI software. Our AI-based predictive sales software analyzes sales transaction data and generates accurate customer behaviour predictions (cross-selling potential, pricing, and churn risks).
Predictive Analytics & Controlling - How to use it in B2B Sales
How the sales analytics tools you use impact your sales controlling.
Controlling sales in B2B is increasingly becoming a high-tech game. Since selling cycles in business-to-business are getting longer and sales is getting more expensive, controlling need to look further into the future.
Machine learning, a well-known example of weak artificial intelligence, represents a fantastic opportunity for improvement in B2B sales controlling and business intelligence. It enriches the world of sales analytics with a substantial competitive advantage.
Launch of Qymatix Online Academy Pilot
The Qymatix Online Academy goes online in pilot! All you need to know about artificial intelligence in B2B sales.
Karlsruhe, 11.03.2021. We are pleased to announce that we are now publicly releasing access to our Online Academy. The Qymatix Online Academy thus starts its pilot phase.
As a provider of AI-based predictive sales software, our experts deal with the collaboration of artificial intelligence (AI) and B2B sales on a daily basis.
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Customer Attrition in B2B: loyalty as a sales growth booster
Predictive analytics for customer retention plays a critical role to accelerate sales in Business-to-Business.
Building customer loyalty successfully and efficiently is what makes business-to-business companies thriving on the long-term. These market leaders actively engage in customer retention prediction. In the end, reliability lives from common purpose, and not from passive “wait and see”.
Furthermore, for companies that are focused on achieving stable and foreseeable sales growth, B2B loyalty programs are unavoidable. Nobody can reliably grow a customer base in the absence of customer retention predictions.