AI-Agents for Retail working with PostgreSQL
PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.
Import checked store entries and report which rows need fixing.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
13 toolsDraft 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 toolsShare checked sales rows for monthly store reporting.
Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.
11 toolsLoad sales CSVs and record how many rows reached the table.
Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.
13 toolsCreate a current Excel workbook for store reports.
Your report preparer gets a fresh Excel workbook when the SQL reporting table changes. The rows follow your chosen query and headings.
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