Lucas Pedretti exclusively booked as AI specialist for eight VTH (Verband Technischer Handel) events
Wholesale businesses can benefit greatly from the possibilities of artificial intelligence. The possible applications of AI in wholesale are manifold.
Karlsruhe, Germany - Lucas Pedretti, Managing Director of Qymatix Solutions GmbH, has been booked as an external speaker for eight events organized by the German Association of Technical Wholesalers (VTH). This decision underlines the fact that artificial intelligence is becoming more and more important in wholesale. Lucas Pedretti is looking forward to supporting the VTH and its members with concrete application examples in the field of artificial intelligence and predictive sales analytics.
The Future of B2B Wholesale: Predictive Analytics and ERP Data Mining
AI-based predictive sales analytics and ERP data mining: technologies that help wholesale distributors increase margins, stay competitive, and reduce costs.
B2B wholesalers face the challenge of keeping up with current market dynamics and acting with foresight.
Enter AI-based predictive analytics and ERP data mining. How can applications of these technologies help wholesale distributors?
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How to Use AI-Based Assistants in B2B Wholesale
Read how AI-based assistants are taking wholesale sales to a new level and helping companies achieve their goals more efficiently.
According to the Federation of German Wholesale, Foreign Trade and Services (BGA), wholesale and foreign trade companies are increasingly realising the potential of using artificial intelligence.
Although many companies are still in the early stages, the opportunities are increasingly being recognised. According to the BGA, two applications of AI in wholesale are particularly popular: AI in logistics & inventory planning and AI-based analysis of customers & buying decisions.
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.
How to use the Potential of Generative AI in B2B Business
Generative Artificial Intelligence (AI) has made fantastic progress in recent years and is increasingly influencing various aspects of our lives. But how to use it in the business world?
Even before ChatGPT, there were impressive generative AI models. For example, AI entered our everyday lives in 2011 with Apple's "Siri" launch. Also, in 2011, the computer program "Watson" beat human players in an American quiz show. Watson proved that it understands natural language and can answer complex questions quickly.
However, generative AI applications such as ChatGPT have influenced people's imaginations of what AI can do in a way other systems have not. That is probably due to its broad and straightforward applicability - almost anyone can use it to communicate and be creative.
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How can AI be used in pricing strategy in B2B? Study: Artificial Intelligence versus Human-based
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."
Artificial Intelligence in German B2B Companies - What do the Figures tell us?
Especially since the launch of ChatGPT on November 30, 2022, the topic of artificial intelligence (AI) in Germany has experienced another substantial boost. But what do the numbers say?
In this article, we look at the current usage of AI in German B2B companies, with a particular focus on B2B wholesale. We also look at what companies already using AI are reporting: What are their experiences?
Finally, we look at surveys that explore the assessment of the future importance of AI for B2B companies.
Let's get started!
What artificial intelligence can and can´t do
For years, artificial intelligence has fluctuated between the terms "Terminator", "technology of the future", or "new superpower", and "doesn't work", "is disappointing", or "no confidence".
It is not surprising that there have repeatedly been so-called "AI summers" and "AI winters" over 70 years. More specifically, there have been two AI winters since the 1950s, when AI was being researched and developed: In the early 1970s and late 1980s, the high expectations for the technology were dashed. Investors pulled out, and researchers got less funding.
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Explainable, Responsible and Trustworthy Artificial Intelligence – What is behind?
Since June 2023, the "AI Act" has been taking shape. With the AI Regulation, the EU Parliament is for the first time planning a legal framework for the development and use of artificial intelligence (AI) - also known as the "AI Act":
“The European AI strategy aims to make the EU a world-class hub for AI and ensure that AI is human-centric and trustworthy.” - European Comission.
How Artificial Intelligence improves Sales Forecasting
Creating and using AI sales forecasts is essential for any B2B company. It is also one of the most important tasks for sales managers who use sales forecasts for sales planning and strategy.
There are many ways to create sales forecasts. From sales rep surveys and estimates of future sales to rule-based Excel calculations or business intelligence applications. But the most unbeatable predictions use artificial intelligence. This article discusses why this is the case.
Roughly speaking, sales forecasts help companies gain some planning certainty in an uncertain future. The goal is to allocate resources efficiently, save money and costs and increase sales.
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