Watch this short demo to see how Databricks SQL AI functions turn unstructured customer reviews into actionable insights–automatically and at scale.
Thousands of e-commerce websites, chatbots, and social media reviews allow retail brands to gather information monthly. Reading, labeling sentiment and summarizing trends manually is tedious, unreliable and costly. Databricks presents a solution – to integrate AI into the data warehouse to the extent of making it just as easy to analyze reviews as it is to run a SQL query.
During this walkthrough, you will see how using the built-in SQL AI functions, you can incorporate large language models to execute sentiment analysis, classification, summarization, translation, and text generation on existing tables. The solution automatically identifies unhappy customers, explains why follow-up is needed, and even drafts response messages using models of your choice.
This all goes down a Bronze – Silver – Gold pipeline with raw reviews going through a processing, enriching and curation pipeline to dashboards that enable teams to work on achieving better customer satisfaction and decreasing churn.
This approach applies to any industry looking to turn unstructured text into business-ready insights with simple SQL.
Looking to implement this in your own environment? Partner with Royal Cyber—an official Databricks partner—to design, deploy, and scale SQL AI solutions tailored to your data, KPIs, and business outcomes.