How many deals have you lost this year - without knowing why?
Stop guessing in B2B sales.
Where does the shoe pinch?
You know that there is a need, but 'where' exactly? The path from a vague need to the right company, the right contact person and the perfect approach is arduous.
Stagnating sectors?
Your current market is stagnating. You want to tap into new growth areas but don't yet have a clear process for finding out where your offering really fits.
Expand your offer?
You find unresolved problems, but the process is unclear: how can your range extension remove the pain and integrate this approach quickly and profitably into your portfolio?
Uncertain market fit?
Does your offer really strike a chord with the market? Are you unsure whether the demand is being met and how you can achieve the perfect product-market fit?
Missed trends?
You are flooded with trends (AI, sustainability) but cannot filter which ones are *really* relevant and how to derive new, profitable services from them.
Blind spots?
Your competitors launch new products, open locations or enter into joint ventures - and you learn about it from the press instead of acting proactively.
Two solutions for your market dominance
We do not solve these problems "somehow".
We offer two clear paths that are based on your level of maturity and requirements.
TRAINING & QUALIFICATION
AUTOMATION & MONITORING
Solution 1: Your complete toolkit for market analysis
Train your team to become internal market experts. We provide the knowledge and the tools.
1. the B2B analysis video course
The A-Z of modern market research, trend identification and customer acquisition.
AI basics & introduction
We show you the AI basics you really need for market research and sales - no data scientist studies required.
Customer pain & lead generation
Problem: Identify pain/need.
Solution: Use AI to recognize signals of acute need. Find companies and APs and approach them with the right topic.
Developing new sectors
Problem: Which sectors are suitable?
Solution: The systematic process: Offer -> Industries -> Companies -> AP. Find profitable niches that match your strengths.
Range expansion & market fit
Problem: Expand offering & check market fit.
Solution: Find companies with unresolved pain. Analyze how "you" can eliminate this pain and integrate it profitably into the offering.
Using relevant trends
Problem: Which trends are relevant?
Solution: Monitor only the trends that influence your business. Learn to adapt your offering and derive new product ideas.
Competitor Analysis 2.0
Problem: Observe competitors.
Solution: Set up automated monitoring. Immediately learn about new products, JVs or locations of the competition.
2. access to the AI tool suite
The course is supplemented by exclusive access to AI-supported tools.
These relieve you of the tedious work involved in market research, trend identification, competitor analysis and customer acquisition and provide you with data at the touch of a button.
Comprehensive evaluations keep your team up to date and provide you with the data you need to make quick and effective decisions and campaigns.
Solution 2: Your automated market radar screen
For advanced companies that want to go one step further.
We build your individual, continuous workflow chain.
Competitor monitoring (Deep Dive)
Find out immediately when your competition takes action. We set up permanent monitoring for:
- Current product developments & new launches
- Joint ventures, mergers & new subsidiaries
- Financial developments and strategic realignments
- Personnel changes in key positions
Early trend detection & evaluation
We filter the noise and identify trends before they become mainstream:
- Continuous scanning of niche markets & tech novelties
- Consideration of your existing market know-how and background information
- Automated evaluation of relevance for your portfolio
- Derivation of recommendations for action for new products
Contents of the online tutorials
- Basics of AI
- Definition and history of AI.
- Differences between AI, machine learning and deep learning.
- Areas of application
- Examples of AI
- AI in the industry.
- Basic concepts
- Algorithms and models
- Training data and procedure
- What is generative AI?
- Differences between generative and discriminative AI.
- Neural networks
- Neural networks explained simply
- How our brain forms the building instructions for AI models.
- What GPTs are
- Introduction to GPT models
- GPTs for experts
- GPT models explained at expert level
- GANs = creative AI
- Understanding and using GANs - from theory to practice
- AI tools
- Types of AI tools
- 6 common tools
- ChatGPT
- What is ChatGPT?
- What is the focus of ChatGPT and why is it an alrounder
- MidJourney
- Generate optimal images with MidJourney
- How to add a personal touch to images.
- HeyGen
- How to create a digital clone
- Shoot your very own story with HeyGen
- Elevenlabs
- Realistic speech with the AI audio platform from elevenlabs
- How talking to AI is changing the world
- Langdock
- AI operating system for companies.
- Use multiple AI platforms with one tool
- Microsoft CoPilot
- How to use in Outlook, Word, Excel.
- Advantages and limitations of Microsoft CoPilot
- Good prompting
- Practical examples of prompting
- Tips and tricks for optimal results
- Quality control
- Hallucinating and how to avoid it
- Review and validation of AI-generated content
- Collaboration with AI
- How optimal human-AI collaboration works
- When human intervention is necessary.
- Brainstorming and innovation
- How optimal human-Ki collaboration works
- When human intervention is necessary.
- Visual creation with AI tools
- Use cases in marketing and design
- Use of tools such as Midjourney and Canva.
- Bias and fairness in AI systems
- Bias and fairness
- How biases can arise in data and models.
- Guidelines for secure handling
- Basics of data protection in the AI context
- Rights of data subjects and obligations of the company
- A milestone in AI regulation
- Overview of relevant laws and regulations (esp. EU AI Act)
- Risk-based approach and classification of AI systems
- Risks and challenges of using AI
- Technical limitations: Understanding the limitations of AI systems.
- Errors and misinformation: Dealing with inaccurate or incorrect AI outputs.
- Current trends and developments:
- Overview of the latest advances in AI.
- Outlook for future technologies:
- Potential impact on the company and the industry.
- Training opportunities:
- Sources and resources for independent learning.
Which path is right for you?
Select "Training & Tools" if...
Select "Automation" if...
What our customers say
SOLUTION 1: TRAINING
"The video course has revolutionized the way our sales department works. Instead of cold calling, we now approach customers who we know have a problem. The AI tools save us hours in the process."
Peer Wilders, Meisters GmbH & Co KG
SOLUTION 2: AUTOMATION
"Automated competitor monitoring is our early warning system. We recognised the launch of a competitor product six months in advance and were able to proactively adapt our strategy for marketing and sales."
Peter Harke, Pneumo Mechanical Engineering
Your market won't wait.
Neither are your competitors.
From reactive follower to proactive market leader. Whether you want to train your team or automate your market analysis, the first step is the same: a clear understanding of your goals.
Let us clarify where you stand and which path (training or automation) will get you to your goal the fastest in a non-binding strategy discussion.
100% without obligation. No hidden costs. Full transparency.
For whom is this system indispensable?
This system is aimed exclusively at decision-makers and their teams who want to actively shape the future of their company and secure competitive advantages.
If you are ready not only to talk about the use of AI, but also to anchor it strategically and profitably in your company, then this offer is just right for you.
5 stages to the successful use of AI
How you can not only invest in AI initiatives, but also achieve visible success.
The white paper shows the 5 steps to successfully using AI in your company.
Why you should definitely download the study so as not to miss the following content:
- Risk: Why AI projects often fail and how to prevent it.
- Roadmap: How to achieve success in stages.
- Competence: Building competence and strengthening the organization.
- Team: What organization and management look like.
- Products: How to develop AI-supported offerings.
- Best practices: How companies successfully implement the 5-stage strategy.
- Checklist: Making companies fit for AI use.
- 3 common stumbling blocks and how to avoid them,

