E-commerce operations: How to collect massive amounts of review data? What kind of analysis should be performed after gathering the data? How to identify product strengths and weaknesses to optimize product selection strategies?
Content creators: Dealing with large volumes of user feedback that are difficult to organize and collect. How to uncover user interests from comments?
Retail chains: Facing continuous declines in sales but unable to quickly pinpoint the cause? Waiting too long for the IT department to generate analytical reports, resulting in delayed responses?
These are the challenges we aimed to address. In the age of powerful large language models, we asked ourselves: Can we use AI to solve the pain points of data scraping and analysis?
