Rework Buyer Suggestions into Actionable Insights with CrewAI and Streamlit | by Alan Jones | Dec, 2024


AI for BI

Construct an AI-powered app to investigate unstructured suggestions, generate insightful reviews, and create interactive visualizations

Primarily based on Picture by Temel from Pixabay

New AI agent instruments have made automating knowledge evaluation remarkably easy. When mixed with a visualisation platform like Streamlit, it’s a easy process to create a visually compelling enterprise reporting app.

On this tutorial, we’ll concentrate on analysing buyer suggestions. This evaluation and a superb understanding of buyer sentiment are important to make sure merchandise meet expectations and that high quality considerations are addressed. Merchandise perceived as poor high quality merely received’t promote.

Nevertheless, analysing buyer suggestions can contain processing a big quantity of unstructured knowledge — a process that may be daunting. That is the place giant language fashions excel, making it doable to extract significant insights from this knowledge.

Our first step is to make clear the target.

Think about we now have a listing of buyer suggestions messages about merchandise from a web-based retailer. Our aim is to generate an govt report that highlights top-performing merchandise, identifies points with underperforming…

Leave a Reply

Your email address will not be published. Required fields are marked *