AI-Agents for Data Analysis in Retail working with Airtable
Calculate usage costs, answer pipeline questions, read trends. Every one is ready to run, and you can adjust it in plain language.
Draft SQL with product categories as columns in sales reports.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
15 toolsDraft SQL to rank products by sales across stores.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
14 toolsDraft SQL counts of customers or orders with the requested store filters.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.
15 toolsDraft sales report SQL for the requested dates.
Get a SQL query for a date or date range in your report chat, with the time field and boundaries explained in the same thread.
14 toolsDraft SQL for sales and inventory questions from store teams.
Get a SQL query and a clear explanation in the same chat thread as your question, with results when you allow them.
14 toolsTurn social campaign exports into reports on retail promotions.
Get a social media report draft with dated post examples and supported figures. Review the gaps before sharing it.
5 toolsCompare retail campaign pins with competing brands' public posts.
Your campaign review table gets a dated report of brand and competitor pins, with source links and available engagement figures.
4 tools
