Training: Competition Analysis with AI
Level
IntermediateDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedTraining: Competition Analysis with AI
The Competition Analysis with AI training is an intensive two-day program that teaches how to use artificial intelligence to collect, analyze, and interpret market data. Through hands-on workshops, participants will learn to use modern AI tools for competitor monitoring, customer sentiment analysis, benchmarking, forecasting market scenarios, and automating strategic reports. The training helps not only to streamline the competitive analysis process but also to improve forecast accuracy and reduce the time needed to prepare key business insights.
What will you learn?
- How to effectively use AI to collect and structure market data
- Methods for customer sentiment analysis and identifying key trends and insights
- How to create competitor offer comparisons and perform SWOT and PESTLE analyses with AI
- Techniques for forecasting market scenarios and conducting AI-supported strategic simulations
- How to design automated reports, alerts, and trend visualizations in Power BI and Excel Copilot
- How to ensure data reliability, avoid analytical errors, and implement AI in line with GDPR and the AI Act
Who is this training for?
Managers and analysts responsible for market monitoring-
Marketing and sales specialists seeking to make data-driven decisions
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Business intelligence and strategy teams looking for modern analytical tools
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Entrepreneurs seeking a competitive edge through intelligent market analysis
Training Program
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Module 1 – Introduction to AI in competition analysis
- Why competitive analysis is key to company strategy
- AI tools for research and data collection (AI Deep Search)
- Workshop: collecting market data with AI
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Module 2 – AI and customer opinion analysis
- Sentiment analysis and identifying “pain points” in reviews and social media
- Extracting and categorizing information from marketing texts
- Workshop: mapping customer trends and insights
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Module 3 – Competitor benchmarking
- Creating competitor offer comparisons
- SWOT and PESTLE analysis supported by AI
- Exercise: creating analyses and visualizing results
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Module 4 – Monitoring competitor activity
- Tracking competitor actions (media, campaigns, offers)
- Workshop: designing an alert and reporting system
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Module 5 – Strategic scenarios and AI forecasting
- How AI supports market forecasts and scenario planning
- What-if analysis – testing hypothetical market situations
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Workshop: strategic simulation – participants generate three alternative competitor scenarios
(e.g., aggressive price expansion, stabilization, offer diversification) and use AI to predict the consequences
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Module 6 – Reporting and automation
- Automated competitor reports and summaries
- Trend visualization in Power BI and Excel Copilot
- Workshop: automating report updates
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Module 7 – Ethics and data reliability
- How to avoid hallucinations and errors in analyses
- Data protection and compliance with GDPR and the AI Act
- Case study: limitations and risks in competitive analysis
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Module 8 – The future of AI-driven competition analysis
- How AI is transforming business intelligence
- Discussion: best practices and recommendations
- Summary and Q&A
