Transform Customer Feedback into Actionable Insights with CrewAI and Streamlit

Build an AI-powered app to analyze unstructured feedback, generate insightful reports, and create interactive visualizations

New AI agent tools have made automating data analysis remarkably simple. When combined with a visualisation platform like Streamlit, it is a simple task to create a visually compelling business reporting app.

In this tutorial, we will focus on analysing customer feedback. This analysis and a good understanding of customer sentiment are essential to ensure products meet expectations and that quality concerns are addressed. Products perceived as poor quality simply won’t sell.

However, analysing customer feedback can involve processing a large volume of unstructured data — a task that can be daunting. This is where large language models excel, making it possible to extract meaningful insights from this data.

Our first step is to clarify the objective.

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