CASE STUDYProduct Design · Engineering · AI/Automation

Competitive Intelligence AI

A system that reads the market so you don't have to.

Client

Celonis

Role

Product Engineer

Duration

4 months

Industry

Brand Strategy / Tech

TypeScriptLangChainOpenAI GPT-4RAGn8nMakeSupabaseWebflow CMSPerplexity
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The Brief

Tracking competitors is usually manual and messy. Teams drown in tabs and spreadsheets. Periodic check-ins always fall behind. The signal-to-noise ratio is terrible. The goal was to build an automated Junior Brand Analyst. This required a live, conversational dashboard to continuously monitor and summarize competitor brand activity. A system that understands context instead of just scraping data.

The Approach

A modular orchestration engine forms the core. Six distinct workflows pull and process data from multiple public sources. An adaptive refresh schedule runs these tasks efficiently to manage API limits and costs. Hard KPIs sync directly to a Webflow CMS for a visual overview. Unstructured insights feed into a vector database. This powers a RAG memory for an interactive AI chatbot. It is not just a data dump. It is a queryable knowledge base.

The Outcome

The system runs quietly in the background. It replaces manual quarterly audits with continuous monitoring. Stakeholders now spot strategic shifts in near real-time. Instead of searching through old reports, teams can chat directly with the agent to extract specific brand insights. Research is no longer a tedious task. It is an active, on-demand asset.

6

Agentic Workflows

24/7

Continuous Monitoring

1

Agentic Analyst

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Annual Log

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