Create an Adaptive Customer Behavior Analytics Dashboard with Claude AI and Python

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In my previous post, I introduced OpenAI’s image APIs and used them to create avatars. Today, I’m diving into another LLM service, ClaudeAI, which has gained traction for its speed and sharp analytical responses. I asked Claude to brainstorm ideas for my next blog post about itself. Among many fantastic suggestions, I chose Customer Behavior Analysis.

Finding a suitable dataset on Kaggle was easy, but the real challenge began when I started working on it. I didn’t expect it to take 4–5 hours to achieve my goal. Initially, I had no clear idea how to use Claude for this, but Claude itself guided me, step by step, on the best approach. As I got deeper, the problem turned into an exciting puzzle; it was challenging, yet fun; thanks to Claude’s capabilities.

Curious why it took so long and how it all worked? Keep reading, or jump straight to the demo video if you’re in a hurry or not interested: