AI & Data

Training: 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.

Duration
6h
Who it's for

Ideal for teams that…

1 Managers and analysts responsible for market monitoring
2 Marketing and sales specialists seeking to make data-driven decisions
3 Business intelligence and strategy teams looking for modern analytical tools
4 Entrepreneurs seeking a competitive edge through intelligent market analysis
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

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

Program · 8 modules

What we actually do

M01
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
M02
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
M03
Module 3 – Competitor benchmarking
  • · Creating competitor offer comparisons
  • · SWOT and PESTLE analysis supported by AI
  • · Exercise: creating analyses and visualizing results
M04
Module 4 – Monitoring competitor activity
  • · Tracking competitor actions (media, campaigns, offers)
  • · Workshop: designing an alert and reporting system
M05
Module 5 – Strategic scenarios and AI forecasting
  • · How AI supports market forecasts and scenario planning
  • · What-if analysis – testing hypothetical market situations
  • · Workshop: strategic simulation – participants generate three alternative competitor scenarios (e.g., aggressive price expansion, stabilization, offer diversification) and use AI to predict the consequences
M06
Module 6 – Reporting and automation
  • · Automated competitor reports and summaries
  • · Trend visualization in Power BI and Excel Copilot
  • · Workshop: automating report updates
M07
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
M08
Module 8 – The future of AI-driven competition analysis
  • · How AI is transforming business intelligence
  • · Discussion: best practices and recommendations
  • · Summary and Q&A
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

Quote within 48h of the brief
First session within 30 days
Pilot before the full decision
VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.